Editing Synthetic human-like fakes

'''Definitions'''
<section begin=definitions-of-synthetic-human-like-fakes />
When the '''[[Glossary#No camera|camera does not exist]]''', but the subject being imaged with a simulation of a (movie) camera deceives the watcher to believe it is some living or dead person it is a '''[[Synthetic human-like fakes#Digital look-alikes|digital look-alike]]'''. 

In 2017-2018 this started to be referred to as [[w:deepfake]], even though altering video footage of humans with a computer with a deceiving effect is actually 20 yrs older than the name "deep fakes" or "deepfakes".<ref name="Bohacek and Farid 2022 protecting against fakes">

{{cite journal
| last1      = Boháček
| first1     = Matyáš
| last2      = Farid
| first2     = Hany
| date       = 2022-11-23
| title      = Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
| url        = https://www.pnas.org/doi/10.1073/pnas.2216035119
| journal    = [[w:Proceedings of the National Academy of Sciences of the United States of America]]
| volume     = 119
| issue      = 48
| pages      = 
| doi        = 10.1073/pnas.221603511
| access-date = 2023-01-05
}}

</ref><ref name="Bregler1997">

{{cite journal
| last1      = Bregler
| first1     = Christoph
| last2      = Covell
| first2     = Michele
| last3      = Slaney 
| first3     = Malcolm
| date       = 1997-08-03
| title      = Video Rewrite: Driving Visual Speech with Audio 
| url        = https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/human/bregler-sig97.pdf
| journal    = SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques
| volume     = 
| issue      = 
| pages      = 353-360
| doi        = 10.1145/258734.258880
| access-date = 2022-09-09 
}}

</ref>

When it cannot be determined by human testing or media forensics whether some fake voice is a synthetic fake of some person's voice, or is it an actual recording made of that person's actual real voice, it is a pre-recorded '''[[Synthetic human-like fakes#Digital sound-alikes|digital sound-alike]]'''. This is now commonly referred to as [[w:audio deepfake]].

'''Real-time digital look-and-sound-alike''' in a video call was used to defraud a substantial amount of money in 2023.<ref name="Reuters real-time digital look-and-sound-alike crime  2023">
{{cite web
	| url = https://www.reuters.com/technology/deepfake-scam-china-fans-worries-over-ai-driven-fraud-2023-05-22/
	| title = 'Deepfake' scam in China fans worries over AI-driven fraud
	| last = 
	| first = 
	| date = 2023-05-22
	| website = [[w:Reuters.com]]
	| publisher = [[w:Reuters]]
	| access-date = 2023-06-05
	| quote = 
}}
</ref>
<section end=definitions-of-synthetic-human-like-fakes />
::[[Synthetic human-like fakes|Read more about '''synthetic human-like fakes''']], see and support '''[[organizations and events against synthetic human-like fakes]]''' and what they are doing, what kinds of '''[[Laws against synthesis and other related crimes]]''' have been formulated, [[Synthetic human-like fakes#Timeline of synthetic human-like fakes|examine the SSFWIKI '''timeline''' of synthetic human-like fakes]] or [[Mediatheque|view the '''Mediatheque''']].


[[File:Screenshot at 27s of a moving digital-look-alike made to appear Obama-like by Monkeypaw Productions and Buzzfeed 2018.png|thumb|right|480px|link=Mediatheque/2018/Obama's appearance thieved - a public service announcement digital look-alike by Monkeypaw Productions and Buzzfeed|{{#lst:Mediatheque|Obama-like-fake-2018}}]]

[[File:BlV1999-morphable-model-till-match-low-res-rip.png|thumb|right|460px|Image 2 (low resolution rip) shows a 1999 technique for sculpting a morphable model, till it matches the target's appearance.
<br/>(1) Sculpting a morphable model to one single picture 
<br/>(2) Produces 3D approximation 
<br/>(4) Texture capture 
<br/>(3) The 3D model is rendered back to the image with weight gain 
<br/>(5) With weight loss 
<br/>(6) Looking annoyed 
<br/>(7) Forced to smile 

<small>Image 2 by Blanz and Vettel – Copyright ACM 1999 – http://dl.acm.org/citation.cfm?doid=311535.311556 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.</small>]]

== Digital look-alikes ==

{{#ev:youtube|LWLadJFI8Pk|400px|right|It is recommended that you watch ''In Event of Moon Disaster - FULL FILM'' (2020) at the '''[https://moondisaster.org/ moondisaster.org''' project website] (where it has interactive portions) by the [https://virtuality.mit.edu/ Center for Advanced Virtuality] of the [[w:Massachusetts Institute of Technology|w:MIT]]}}


=== Introduction to digital look-alikes ===
[[File:Deb-2000-reflectance-separation.png|thumb|360px|right|Image 1: Separating specular and diffuse reflected light

<br/> <br />

(a) Normal image in dot lighting
<br/><br/> 
(b) Image of the diffuse reflection which is caught by placing a vertical polarizer in front of the light source and a horizontal in the front the camera
<br/><br/> 
(c) Image of the highlight specular reflection which is caught by placing both polarizers vertically
<br/><br/> 
(d) Subtraction of c from b, which yields the specular component
<br/><br/> 
Images are scaled to seem to be the same luminosity.
<br/><br/> 
<small>Original image by Debevec et al. – Copyright ACM 2000 – https://dl.acm.org/citation.cfm?doid=311779.344855 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.</small>]]

[[File:The-diffuse-reflection-deducted-from-the-specular-reflection-Debevec-2000.png|thumb|left|260px|Subtraction of the diffuse reflection from the specular reflection yields the specular component of the model's reflectance.  
<br /><br />
<small>[[:File:Deb-2000-reflectance-separation.png|Original picture]]  by [[w:Paul Debevec]] et al. - Copyright ACM 2000 https://dl.acm.org/citation.cfm?doid=311779.344855</small>]]

In the cinemas we have seen digital look-alikes for 20 years. These digital look-alikes have "clothing" (a simulation of clothing is not clothing) or "superhero costumes" and "superbaddie costumes", and they don't need to care about the laws of physics, let alone laws of physiology. It is generally accepted that digital look-alikes made their public debut in the sequels of The Matrix i.e. [[w:The Matrix Reloaded]] and [[w:The Matrix Revolutions]] released in 2003. It can be considered almost certain, that it was not possible to make these before the year 1999, as the final piece of the puzzle to make a (still) digital look-alike that passes human testing, the [[Glossary#Reflectance capture|reflectance capture]] over the human face, was made for the first time in 1999 at the [[w:University of Southern California]] and was presented to the crème de la crème 
of the computer graphics field in their annual gathering SIGGRAPH 2000.<ref name="Deb2000">
{{cite book
| last = Debevec
| first = Paul
| author-link = Paul Debevec
| chapter = Acquiring the reflectance field of a human face
| journal =
| pages = 145–156
| publisher = ACM
| year = 2000
| chapter-url = http://dl.acm.org/citation.cfm?id=344855 
| chapter-format =
| doi = 10.1145/344779.344855
| accessdate =  2020-06-27
| title = Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00
| isbn = 978-1581132083
}}</ref>

{{#lst:Quotes|MatrixTrad}}

=== The problems with digital look-alikes ===

Extremely unfortunately for the humankind, organized criminal leagues, that posses the '''weapons capability''' of making believable looking '''synthetic pornography''', are producing on industrial production pipelines '''terroristic synthetic pornography'''<ref group="footnote" name="About the term terroristic synthetic pornography">It is terminologically more precise, more inclusive and more useful to talk about 'terroristic synthetic pornography', if we want to talk about things with their real names, than 'synthetic rape porn', because also synthesizing recordings of consentual looking sex scenes can be terroristic in intent.</ref> by animating digital look-alikes and distributing it in the murky Internet in exchange for money stacks that are getting thinner and thinner as time goes by. 

These industrially produced pornographic delusions are causing great human suffering, especially in their direct victims, but they are also tearing our communities and societies apart, sowing blind rage, perceptions of deepening chaos, feelings of powerlessness and provoke violence. 

These kinds of '''hate illustration''' increases and strengthens hate feeling, hate thinking, hate speech and hate crimes and tears our fragile social constructions apart and with time perverts humankind's view of humankind into an almost unrecognizable shape, unless we interfere with resolve.

'''Children-like sexual abuse images'''

Sadly by 2023 there is a market for synthetic human-like sexual abuse material that looks like children. See [https://www.bbc.com/news/uk-65932372 ''''''Illegal trade in AI child sex abuse images exposed'''''' at bbc.com] 2023-06-28 reports [[w:Stable Diffusion]] being abused to produce this kind of images. The [[w:Internet Watch Foundation]] also reports on the alarming existence of production of synthetic human-like sex abuse material portraying minors. See [https://www.iwf.org.uk/news-media/news/prime-minister-must-act-on-threat-of-ai-as-iwf-sounds-alarm-on-first-confirmed-ai-generated-images-of-child-sexual-abuse/ ''''''Prime Minister must act on threat of AI as IWF ‘sounds alarm’ on first confirmed AI-generated images of child sexual abuse'''''' at iwf.org.uk] (2023-08-18)

=== Fixing the problems from digital look-alikes ===

We need to move on 3 fields: [[Laws against synthesis and other related crimes|legal]], technological and cultural.

'''Technological''': Computer vision system like [[FacePinPoint.com]] for seeking unauthorized pornography / nudes used to exist 2017-2021 and could be revived if funding is found. It was a service practically identical with SSFWIKI original concept [[Adequate Porn Watcher AI (concept)]].

'''Legal''': Legislators around the planet have been waking up to this reality that not everything that seems a video of people is a video of people and various laws have been passed to protect humans and humanity from the menaces of synthetic human-like fakes, mostly digital look-alikes so far, but hopefully humans will be protected also fro other aspects of synthetic human-like fakes by laws. See [[Laws against synthesis and other related crimes]]

=== Age analysis and rejuvenating and aging syntheses ===

*  [https://arxiv.org/abs/2002.03750 ''''''An Overview of Two Age Synthesis and Estimation Techniques'''''' at arxiv.org] [https://arxiv.org/pdf/2002.03750.pdf (.pdf)], submitted for review on 2020-01-26
* [https://www.sciencedirect.com/science/article/abs/pii/S0925231220309942 ''''''Dual Reference Age Synthesis'''''' at sciencedirect.com] [https://arxiv.org/pdf/1908.02671.pdf (preprint at arxiv.org)] published on 2020-10-21 in [[w:Neurocomputing (journal)]]
* [https://ieeexplore.ieee.org/document/6084154 ''''''A simple automatic facial aging/rejuvenating synthesis method'''''' at ieeexplore.ieee.org] [https://www.researchgate.net/publication/220755281_Automatic_Facial_AgingRejuvenating_Synthesis_Method read free at researchgate.net], published at the proceedings  of the 2011 IEEE International Conference on Systems, Man and Cybernetics 
* [https://ieeexplore.ieee.org/document/5406526 ''''''Age Synthesis and Estimation via Faces: A Survey'''''' at ieeexplore.ieee.org] (paywall) [https://www.researchgate.net/publication/46288561_Age_Synthesis_and_Estimation_via_Faces_A_Survey at researchgate.net] published November 2010

=== Temporal limit of digital look-alikes ===
[[File:Institut Lumière - CINEMATOGRAPHE Camera.jpg|thumb|left|120px|A picture of the 1895 [[w:Cinematograph]]]]

[[w:History of film technology]] has information about where the border is.

Digital look-alikes cannot be used to attack people who existed before the technological invention of film. For moving pictures the breakthrough is attributed to [[w:Auguste and Louis Lumière]]'s [[w:Cinematograph]] premiered in Paris on 28 December '''1895''', though this was only the commercial and popular breakthrough, as even earlier moving pictures exist. (adapted from [[w:History of film]])

The '''[[w:Kinetoscope]]''' is an even earlier motion picture exhibition device. A prototype for the Kinetoscope was shown to a convention of the National Federation of Women's Clubs on May 20, 1891.<ref name="memory.loc.gov">

{{cite web
|publisher=[[w:Library of Congress]]
|website=Memory.loc.gov
|url=http://memory.loc.gov/ammem/edhtml/edmvhist.html
|title=Inventing Entertainment: The Early Motion Pictures and Sound Recordings of the Edison Companies
|access-date=2020-12-09
}}

</ref> The first public demonstration of the Kinetoscope was held at the [[w:Brooklyn Museum|Brooklyn Institute of Arts and Sciences]] on '''May 9''', '''1893'''. ([[w:Kinetoscope|Wikipedia]])<ref name="memory.loc.gov"/>


----

== Digital sound-alikes ==
=== University of Florida published an antidote to synthetic human-like fake voices in 2022 ===

'''2022''' saw a brilliant '''<font color="green">counter-measure</font>''' presented to peers at the 31st [[w:USENIX]] Security Symposium 10-12 August 2022 by [[w:University of Florida]] <u><big>'''[[Detecting deep-fake audio through vocal tract reconstruction]]'''</big></u>.

The university's foundation has applied for a patent and let us hope that they will [[w:copyleft]] the patent as this protective method needs to be rolled out to protect the humanity.

'''Below transcluded [[Detecting deep-fake audio through vocal tract reconstruction|from the article]]'''

{{#lst:Detecting deep-fake audio through vocal tract reconstruction|what-is-it}} {{#lst:Detecting deep-fake audio through vocal tract reconstruction|original-reporting}} 

'''This new counter-measure needs to be rolled out to humans to protect humans against the fake human-like voices.'''

{{#lst:Detecting deep-fake audio through vocal tract reconstruction|embed}}

=== On known history of digital sound-alikes ===
[[File:Helsingin-Sanomat-2012-David-Martin-Howard-of-University-of-York-on-apporaching-digital-sound-alikes.jpg|right|thumb|338px|A picture of a cut-away titled "''Voice-terrorist could mimic a leader''" from a 2012 [[w:Helsingin Sanomat]] warning that the sound-like-anyone machines are approaching. Thank you to homie [https://pure.york.ac.uk/portal/en/researchers/david-martin-howard(ecfa9e9e-1290-464f-981a-0c70a534609e).html Prof. David Martin Howard] of the [[w:University of York]], UK and the anonymous editor for the heads-up.]]

The first English speaking digital sound-alikes were first introduced in 2016 by Adobe and Deepmind, but neither of them were made publicly available. 
<section begin=GoogleTransferLearning2018 />
Then in '''2018''' at the '''[[w:Conference on Neural Information Processing Systems]]''' (NeurIPS) the work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis'] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented. The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results

The Iframe below is transcluded from [https://google.github.io/tacotron/publications/speaker_adaptation/ ''''''Audio samples from "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"'''''' at google.gituhub.io], the audio samples of a sound-like-anyone machine presented as at the 2018 [[w:NeurIPS]] conference by Google researchers.

Have a listen.

{{#Widget:Iframe - Audio samples from Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis by Google Research}}

Observe how good the "VCTK p240" system is at deceiving to think that it is a person that is doing the talking.

<section end=GoogleTransferLearning2018 />

''' Reporting on the sound-like-anyone-machines '''
* [https://www.forbes.com/sites/bernardmarr/2019/05/06/artificial-intelligence-can-now-copy-your-voice-what-does-that-mean-for-humans/#617f6d872a2a '''"Artificial Intelligence Can Now Copy Your Voice: What Does That Mean For Humans?"''' May 2019 reporting at forbes.com] on [[w:Baidu Research]]'es attempt at the sound-like-anyone-machine demonstrated at the 2018 [[w:NeurIPS]] conference.


The to the right [https://www.youtube.com/watch?v=0sR1rU3gLzQ video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube] describes the voice thieving machine presented by Google Research in [[w:NeurIPS|w:NeurIPS]] 2018.

{{#ev:youtube|0sR1rU3gLzQ|640px|right|Video [https://www.youtube.com/watch?v=0sR1rU3gLzQ video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube] describes the voice thieving machine by Google Research in [[w:NeurIPS|w:NeurIPS]] 2018.}}

=== Documented crimes with digital sound-alikes ===
In 2019 reports of crimes being committed with digital sound-alikes started surfacing. As of Jan 2022 no reports of other types of attack than fraud have been found.

==== 2019 digital sound-alike enabled fraud  ====
By 2019 digital sound-alike anyone technology found its way to the hands of criminals. In '''2019''' [[w:NortonLifeLock|Symantec]] researchers knew of 3 cases where digital sound-alike technology had been used for '''[[w:crime]]'''.<ref name="Washington Post reporting on 2019 digital sound-alike fraud" />

Of these crimes the most publicized was a fraud case in March 2019 where 220,000€ were defrauded with the use of a real-time digital sound-alike.<ref name="WSJ original reporting on 2019 digital sound-alike fraud" /> The company that was the victim of this fraud had bought some kind of cyberscam insurance from French insurer [[w:Euler Hermes]] and the case came to light when Mr. Rüdiger Kirsch of Euler Hermes informed [[w:The Wall Street Journal]] about it.<ref name="Forbes reporting on 2019 digital sound-alike fraud" />

''' Reporting on the 2019 digital sound-alike enabled fraud '''
* [https://www.wsj.com/articles/fraudsters-use-ai-to-mimic-ceos-voice-in-unusual-cybercrime-case-11567157402 '''''Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case''''' at wsj.com] original reporting, date unknown, updated 2019-08-30<ref name="WSJ original reporting on 2019 digital sound-alike fraud">

{{cite web
 |url=https://www.wsj.com/articles/fraudsters-use-ai-to-mimic-ceos-voice-in-unusual-cybercrime-case-11567157402
 |title=Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case 
 |last=Stupp
 |first=Catherine
 |date=2019-08-30
 |website=[[w:wsj.com]]
 |publisher=[[w:The Wall Street Journal]]
 |access-date=2022-01-01
 |quote=}}

</ref>

* [https://www.bbc.com/news/technology-48908736 '''"Fake voices 'help cyber-crooks steal cash''''" at bbc.com] July 2019 reporting <ref name="BBC reporting on 2019 digital sound-alike fraud">
{{cite web
 |url= https://www.bbc.com/news/technology-48908736
 |title= Fake voices 'help cyber-crooks steal cash'
 |last=
 |first= 
 |date= 2019-07-08
 |website= [[w:bbc.com]]
 |publisher= [[w:BBC]]
 |access-date= 2020-07-22
 |quote= }}
</ref>
* [https://www.washingtonpost.com/technology/2019/09/04/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft/ '''"An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft"''' at washingtonpost.com] documents a [[w:fraud]] committed with digital sound-like-anyone-machine, July 2019 reporting.<ref name="Washington Post reporting on 2019 digital sound-alike fraud">
{{cite web
 |url= https://www.washingtonpost.com/technology/2019/09/04/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft/
 |title= An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft
 |last= Drew
 |first= Harwell
 |date= 2020-04-16
 |website= [[w:washingtonpost.com]]
 |publisher= [[w:Washington Post]]
 |access-date= 2019-07-22
 |quote=Researchers at the cybersecurity firm Symantec said they have found at least three cases of executives’ voices being mimicked to swindle companies. Symantec declined to name the victim companies or say whether the Euler Hermes case was one of them, but it noted that the losses in one of the cases totaled millions of dollars.}}
</ref>
* [https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/ '''''A Voice Deepfake Was Used To Scam A CEO Out Of $243,000''''' at forbes.com], 2019-09-03 reporting<ref name="Forbes reporting on 2019 digital sound-alike fraud">

{{cite web
 |url=https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/
 |title=A Voice Deepfake Was Used To Scam A CEO Out Of $243,000
 |last=Damiani
 |first=Jesse
 |date=2019-09-03
 |website=[[w:Forbes.com]]
 |publisher=[[w:Forbes]]
 |access-date=2022-01-01
 |quote=According to a new report in The Wall Street Journal, the CEO of an unnamed UK-based energy firm believed he was on the phone with his boss, the chief executive of firm’s the German parent company, when he followed the orders to immediately transfer €220,000 (approx. $243,000) to the bank account of a Hungarian supplier. In fact, the voice belonged to a fraudster using AI voice technology to spoof the German chief executive. Rüdiger Kirsch of Euler Hermes Group SA, the firm’s insurance company, shared the information with WSJ.}}

</ref>

==== 2020 digital sound-alike fraud attempt ====
In June 2020 fraud was attempted with a poor quality pre-recorded digital sound-alike with delivery method was voicemail. ([https://soundcloud.com/jason-koebler/redacted-clip '''Listen to a redacted clip''' at soundcloud.com]) The recipient in a tech company didn't believe the voicemail to be real and alerted the company and they realized that someone tried to scam them. The company called in Nisos to investigate the issue. Nisos analyzed the evidence and they were certain it was a fake, but had aspects of a cut-and-paste job to it. Nisos prepared [https://www.nisos.com/blog/synthetic-audio-deepfake/ a report titled '''''"The Rise of Synthetic Audio Deepfakes"''''' at nisos.com] on the issue and shared it with Motherboard, part of [[w:Vice (magazine)]] prior to its release.<ref name="Vice reporting on 2020 digital sound-alike fraud attempt">

{{cite web
 |url=https://www.vice.com/en/article/pkyqvb/deepfake-audio-impersonating-ceo-fraud-attempt
 |title=Listen to This Deepfake Audio Impersonating a CEO in Brazen Fraud Attempt
 |last=Franceschi-Bicchierai
 |first=Lorenzo
 |date=2020-07-23
 |website=[[w:Vice.com]]
 |publisher=[[w:Vice (magazine)]]
 |access-date=2022-01-03
 |quote=}}


</ref>

==== 2021 digital sound-alike enabled fraud ====

<section begin=2021 digital sound-alike enabled fraud />The 2nd publicly known fraud done with a digital sound-alike<ref group="1st seen in" name="2021 digital sound-alike fraud case">https://www.reddit.com/r/VocalSynthesis/</ref> took place on Friday 2021-01-15. A bank in Hong Kong was manipulated to wire money to numerous bank accounts by using a voice stolen from one of the their client company's directors. They managed to defraud $35 million of the U.A.E. based company's money.<ref name="Forbes reporting on 2021 digital sound-alike fraud">https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-bank-fraud-uses-deep-fake-voice-tech-to-steal-millions/</ref>. This case came into light when Forbes saw [https://www.documentcloud.org/documents/21085009-hackers-use-deep-voice-tech-in-400k-theft a document] where the U.A.E. financial authorities were seeking administrative assistance from the US authorities towards the end of recovering a small portion of the defrauded money that had been sent to bank accounts in the USA.<ref name="Forbes reporting on 2021 digital sound-alike fraud" />

'''Reporting on the 2021 digital sound-alike enabled fraud'''

* [https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-bank-fraud-uses-deep-fake-voice-tech-to-steal-millions/ '''''Fraudsters Cloned Company Director’s Voice In $35 Million Bank Heist, Police Find''''' at forbes.com] 2021-10-14 original reporting
* [https://www.unite.ai/deepfaked-voice-enabled-35-million-bank-heist-in-2020/ '''''Deepfaked Voice Enabled $35 Million Bank Heist in 2020''''' at unite.ai]<ref group="1st seen in" name="2021 digital sound-alike fraud case" /> reporting updated on 2021-10-15
* [https://www.aiaaic.org/aiaaic-repository/ai-and-algorithmic-incidents-and-controversies/usd-35m-voice-cloning-heist '''''USD 35m voice cloning heist''''' at aiaaic.org], October 2021 AIAAIC repository entry 
<section end=2021 digital sound-alike enabled fraud />

'''More fraud cases with digital sound-alikes'''
* [https://www.washingtonpost.com/technology/2023/03/05/ai-voice-scam/ '''''They thought loved ones were calling for help. It was an AI scam.''''' at washingtonpost.com], March 2023 reporting

=== Example of a hypothetical 4-victim digital sound-alike attack ===
A very simple example of a digital sound-alike attack is as follows: 

Someone puts a digital sound-alike to call somebody's voicemail from an unknown number and to speak for example illegal threats. In this example there are at least two victims:

# Victim #1 - The person whose voice has been stolen into a covert model and a digital sound-alike made from it to frame them for crimes
# Victim #2 - The person to whom the illegal threat is presented in a recorded form by a digital sound-alike that deceptively sounds like victim #1
# Victim #3 - It could also be viewed that victim #3 is our law enforcement systems as they are put to chase after and interrogate the innocent victim #1
# Victim #4 - Our judiciary which prosecutes and possibly convicts the innocent victim #1.

=== Examples of speech synthesis software not quite able to fool a human yet ===
Some other contenders to create digital sound-alikes are though, as of 2019, their speech synthesis in most use scenarios does not yet fool a human because the results contain tell tale signs that give it away as a speech synthesizer.  

* '''[https://lyrebird.ai/ Lyrebird.ai]''' [https://www.youtube.com/watch?v=xxDBlZu__Xk (listen)] 
* '''[https://candyvoice.com/ CandyVoice.com]''' [https://candyvoice.com/demos/voice-conversion (test with your choice of text)] 
* '''[https://cstr-edinburgh.github.io/merlin/ Merlin]''', a [[w:neural network]] based speech synthesis system by the Centre for Speech Technology Research at the [[w:University of Edinburgh]]
* [https://papers.nips.cc/paper/8206-neural-voice-cloning-with-a-few-samples ''''Neural Voice Cloning with a Few Samples''' at papers.nips.cc], [[w:Baidu Research]]'es shot at sound-like-anyone-machine did not convince in '''2018'''

=== Temporal limit of digital sound-alikes ===
[[File:Edison_and_phonograph_edit1.jpg|thumb|left|210px|[[w:Thomas Edison]] and his early [[w:phonograph]]. Cropped from [[w:Library of Congress]] copy, ca. 1877,  (probably 18 April 1878)]]

The temporal limit of whom, dead or living, the digital sound-alikes can attack is defined by the '''[[w:history of sound recording]]'''. 

The article starts by mentioning that the invention of the [[w:phonograph]] by [[w:Thomas Edison]] in '''1877''' is considered the start of sound recording. 

The '''phonautograph''' is the earliest known device for recording [[w:sound]]. Previously, tracings had been obtained of the sound-producing vibratory motions of [[w:tuning forks]] and other objects by physical contact with them, but not of actual sound waves as they propagated through air or other media. Invented by Frenchman [[W:Édouard-Léon Scott de Martinville]], it was patented on March 25, '''1857'''.<ref name="NPR-Phonautograph">

{{Cite news
|url=https://www.npr.org/templates/story/story.php?storyId=89380697
|title=1860 'Phonautograph' Is Earliest Known Recording
|last=Flatow
|first=Ira|date=April 4, 2008|work=NPR
|access-date=2012-12-09
|language=en}}

</ref> 

Apparently, it did not occur to anyone before the 1870s that the recordings, called '''phonautograms''', contained enough information about the sound that they could, in theory, be '''used to recreate it'''. Because the phonautogram tracing was an insubstantial two-dimensional line, direct physical playback was impossible in any case. Several phonautograms recorded '''before 1861''' were successfully played as sound in '''2008''' by optically scanning them and using a computer to process the scans into digital audio files. ([[w:Phonautograph|Wikipedia]])

[[File:Spectrogram-19thC.png|thumb|right|640px|A [[w:spectrogram]] of a male voice saying 'nineteenth century']]

=== What should we do about digital sound-alikes? ===

Living people can defend<ref group="footnote" name="judiciary maybe not aware">Whether a suspect can defend against faked synthetic speech that sounds like him/her depends on how up-to-date the judiciary is. If no information and instructions about digital sound-alikes have been given to the judiciary, they likely will not believe the defense of denying that the recording is of the suspect's voice.</ref> themselves against digital sound-alike by denying the things the digital sound-alike says if they are presented to the target, but dead people cannot. Digital sound-alikes offer criminals new disinformation attack vectors and wreak havoc on provability. 

For these reasons the bannable '''raw materials''' i.e. covert voice models '''[[Law proposals to ban covert modeling|should be prohibited by law]]''' in order to protect humans from abuse by criminal parties.

It is high time to act and to '''[[Law proposals to ban covert modeling|criminalize the covert modeling of human voice!]]'''

== Text syntheses ==
[[w:Chatbot]]s and [[w:spamming]] have existed for a longer time, but only now armed with AI they are becoming more deceiving. 

In [[w:natural language processing]] development in [[w:natural-language understanding]] leads to more cunning [[w:natural-language generation]] AI.

'''[[w:Large language model]]s''' ('''LLM''') are very large [[w:language model]]s consisting of a [[w:Artificial neural network|w:neural network]] with many parameters.

[[w:OpenAI]]'s [[w:OpenAI#GPT|w:Generative Pre-trained Transformer]] ('''GPT''') is a left-to-right [[w:transformer (machine learning model)]]-based [[w:Natural-language generation|text generation]] model succeeded by [[w:OpenAI#GPT-2|w:GPT-2]] and [[w:OpenAI#GPT-3|w:GPT-3]]
 
November 2022 saw the publication of OpenAI's '''[[w:ChatGPT]]''', a conversational artificial intelligence.

'''[[w:Bard (chatbot)]]''' is a conversational [[w:generative artificial intelligence]] [[w:chatbot]] developed by [[w:Google]], based on the [[w:LaMDA]] family of [[w:large language models]]. It was developed as a direct response to the rise of [[w:OpenAI]]'s [[w:ChatGPT]], and was released in March 2023. ([https://en.wikipedia.org/w/index.php?title=Bard_(chatbot)&oldid=1152361586 Wikipedia])

''' Reporting / announcements ''' (in reverse chronology)
* [https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/ '''''Reinventing search with a new AI-powered Microsoft Bing and Edge, your copilot for the web''''' at blogs.microsoft.com] '''February 2023''' (2023-02-07). The new improved Bing, available only in Microsoft's Edge browser is reportedly based on a language model refined from GPT 3.5.<ref>https://www.theverge.com/2023/2/7/23587454/microsoft-bing-edge-chatgpt-ai</ref>

* [https://openai.com/blog/new-ai-classifier-for-indicating-ai-written-text '''New AI classifier for indicating AI-written text''' at openai.com], a '''January 2023''' blog post about OpenAI's AI classifier for detecting AI-written texts.

* [https://openai.com/blog/chatgpt '''''Introducing ChatGPT''''' at openai.com] '''November 2022''' (2022-11-30)

* [https://www.technologyreview.com/2020/08/14/1006780/ai-gpt-3-fake-blog-reached-top-of-hacker-news/ ''''A college kid’s fake, AI-generated blog fooled tens of thousands. This is how he made it.'''' at technologyreview.com] '''August 2020''' reporting in the [[w:MIT Technology Review]] by Karen Hao about GPT-3.

* [https://siliconangle.com/2020/07/19/openais-latest-ai-text-generator-gpt-3-amazes-early-adopters/ ''''OpenAI’s latest AI text generator GPT-3 amazes early adopters'''' at siliconangle.com] '''July 2020''' reporting on GPT-3

* [https://venturebeat.com/2019/08/20/openai-releases-curtailed-version-of-gpt-2-language-model/ ''''OpenAI releases curtailed version of GPT-2 language model'''' at venturebeat.com], '''August 2019''' reporting on the original release of of the curtailed version of GPT-2

''' External links '''
* [https://analyticssteps.com/blogs/detection-fake-and-false-news-text-analysis-approaches-and-cnn-deep-learning-model '''"Detection of Fake and False News (Text Analysis): Approaches and CNN as Deep Learning Model"''' at analyticsteps.com], a 2019 summmary written by Shubham Panth.

=== Detectors for synthesized texts ===

Introduction of [[w:ChatGPT]] by OpenAI brought the need for software to detect machine-generated texts.

Try AI plagiarism detection for free

* [https://contentdetector.ai/ '''AI Content Detector''' at contentdetector.ai]- ''AI Content Detector - Detect ChatGPT Plagiarism'' ('''try for free''')
* [https://platform.openai.com/ai-text-classifier '''AI Text Classifier''' at platform.openai.com]- ''The AI Text Classifier is a fine-tuned GPT model that predicts how likely it is that a piece of text was generated by AI from a variety of sources, such as ChatGPT.'' ('''free account required''')
* [https://gptradar.com/ '''GPT Radar''' at gptradar.com] - ''AI text detector app'' ('''try for free''')<ref group="1st seen in" name="Wordlift.io 2023">https://wordlift.io/blog/en/best-plagiarism-checkers-for-ai-generated-content/</ref>
* [https://gptzero.me/ '''GPTZero''' at gptzero.me] - ''The World's #1 AI Detector with over 1 Million Users'' ('''try for free''')
* [https://copyleaks.com/plagiarism-checker '''Plagiarism Checker''' at copyleaks.com]- ''Plagiarism Checker by Copyleaks'' ('''try for free''')<ref group="1st seen in" name="Wordlift.io 2023" />
* https://gowinston.ai/ - ''The most powerful AI content detection solution'' ('''free-tier available''')<ref group="1st seen in" name="Wordlift.io 2023" />
* [https://www.zerogpt.com/ '''ZeroGPT''' at zerogpt.com]<ref group="1st seen in" name="Wordlift.io 2023" /> - ''GPT-4 And ChatGPT detector by ZeroGPT: detect OpenAI text - ZeroGPT the most Advanced and Reliable Chat GPT and GPT-4 detector tool'' ('''try for free''')

For-a-fee AI plagiarism detection tools
* https://originality.ai/ - ''The Most Accurate AI Content Detector and Plagiarism Checker Built for Serious Content Publishers''<ref group="1st seen in" name="Wordlift.io 2023" />
* https://www.turnitin.com/ - ''Empower students to do their best, original work''<ref group="1st seen in" name="Wordlift.io 2023" />

== Handwriting syntheses ==

Handwriting syntheses could be used
# Defensively, to hide one's handwriting style from public view
# Offensively, to thieve somebody else's handwriting style

If the handwriting-like synthesis passes human and media forensics testing, it is a '''digital handwrite-alike'''.

Here we find a '''risk''' similar to that which realized when the '''[[w:speaker recognition]] systems''' turned out to be instrumental in the development of '''[[#Digital sound-alikes|digital sound-alikes]]'''. After the knowledge needed to recognize a speaker was [[w:Transfer learning|w:transferred]] into a generative task in 2018 by Google researchers, we no longer cannot effectively determine for English speakers which recording is human in origin and which is from a machine origin.

'''Handwriting-like syntheses''':
[[w:Recurrent neural network]]s (RNN) seem are a popular choice for this task.

* [https://github.com/topics/handwriting-synthesis GitHub topic '''handwriting-synthesis'''] has 29 public repositories as of September 2021. 
* [https://github.com/topics/handwriting-generation GitHub topic '''handwriting-generation'''] has 21 public repositories as of September 2021.


* [https://www.sciencedirect.com/science/article/abs/pii/S0031320319303814 '''''Deep imitator: Handwriting calligraphy imitation via deep attention networks'''' at sciencedirect.com], published in [[w:Pattern Recognition (journal)]] in August '''2020'''.

* [https://greydanus.github.io/2016/08/21/handwriting/ '''Scribe''' - ''Generating Realistic Handwriting with TensorFlow'' at greydanus.github.io] blog post published on '''2016'''-08-21. [https://github.com/greydanus/scribe '''Scribe code''' at github.com]

* [https://dl.acm.org/doi/10.1145/2886099 '''''My Text in Your Handwriting''''' at dl.acm.org], a system from [[w:University College London]] published on '''2016'''-05-18 in [[w:ACM Transactions on Graphics]].<ref group="1st seen in">https://www.ucl.ac.uk/news/2016/aug/new-computer-programme-replicates-handwriting via Google search for "ai handwriting generator"</ref>

* [https://arxiv.org/abs/1308.0850  '''''Generating Sequences With Recurrent Neural Networks''''' at arxiv.org] by Alex Graves published on '''2013'''-08-04 in Neural and Evolutionary Computing.
:#[https://www.cs.toronto.edu/~graves/handwriting.html '''''Recurrent neural network handwriting generation demo''''' at cs.toronto.edu] is a demonstration site for publication 
:# [https://www.calligrapher.ai/ '''Calligrapher.ai''' - ''Realistic computer-generated handwriting''] - The user may control parameters: speed, legibility, stroke width and style. The domain is registered by some organization in Iceland and the website offers no about-page<ref group="1st seen in">https://seanvasquez.com/handwriting-generation redirects to Calligrapher.ai - seen in https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref>. According to [https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/ this reddit post] Calligrapher.ai is based on Graves' 2013 work, but "''adds an [[w:inference]] model to allow for sampling latent style vectors (similar to the VAE model used by SketchRNN)''".<ref>https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref>

''' Handwriting recognition '''

* '''[[w:Handwriting recognition]]''' ('''HWR'''), also known as '''Handwritten Text Recognition''' ('''HTR'''), is the ability of a computer to receive and interpret intelligible [[w:handwriting|w:handwritten]] input (Wikipedia)
* '''[[w:Intelligent word recognition]]''', or '''IWR''', is the recognition of unconstrained handwritten words.<ref>
{{Cite web
|url=https://www.efilecabinet.com/what-is-iwr-intelligent-word-recognition-how-is-it-related-to-document-management/
|title=What is IWR? (Intelligent Word Recognition)
|date=2016-01-04
|website=eFileCabinet
|language=en-US
|access-date=2021-09-21
}}

</ref> (Wikipedia)

* [https://github.com/topics/handwriting-recognition GitHub topic '''handwriting-recognition'''] contains 238 repositories as of September 2021.

== Singing syntheses ==

As of 2020 the '''digital sing-alikes''' may not yet be here, but when we hear a faked singing voice and we cannot hear that it is fake, then we will know. An ability to sing does not seem to add much hostile capabilities compared to the ability to thieve spoken word.

* [https://arxiv.org/abs/1910.11690 ''''''Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks'''''' at arxiv.org], a 2019 singing voice synthesis technique using [[w:convolutional neural network|w:convolutional neural networks (CNN)]]. Accepted into the 2020 [[w:International Conference on Acoustics, Speech, and Signal Processing|International Conference on Acoustics, Speech, and Signal Processing (ICASSP)]].
* [http://compmus.ime.usp.br/sbcm/2019/papers/sbcm-2019-7.pdf ''''''State of art of real-time singing voice synthesis'''''' at compmus.ime.usp.br] presented at the 2019 [http://compmus.ime.usp.br/sbcm/2019/program/ 17th Brazilian Symposium on Computer Music]
* [http://theses.fr/2017PA066511 ''''''Synthesis and expressive transformation of singing voice'''''' at theses.fr] [https://www.theses.fr/2017PA066511.pdf as .pdf] a 2017 doctorate thesis by [http://theses.fr/227185943 Luc Ardaillon]
* [http://mtg.upf.edu/node/512 ''''''Synthesis of the Singing Voice by Performance Sampling and Spectral Models'''''' at mtg.upf.edu], a 2007 journal article in the [[w:IEEE Signal Processing Society]]'s Signal Processing Magazine
* [https://www.researchgate.net/publication/4295714_Speech-to-Singing_Synthesis_Converting_Speaking_Voices_to_Singing_Voices_by_Controlling_Acoustic_Features_Unique_to_Singing_Voices ''''''Speech-to-Singing Synthesis: Converting Speaking Voices to Singing Voices by Controlling Acoustic Features Unique to Singing Voices'''''' at researchgate.net], a November 2007 paper published in the IEEE conference on Applications of Signal Processing to Audio and Acoustics


* [[w:Category:Singing software synthesizers]]

----

= Timeline  of synthetic human-like fakes =
See the #SSFWIKI '''[[Mediatheque]]''' for viewing media that is or is probably to do with synthetic human-like fakes.

== 2020's synthetic human-like fakes ==

* '''2023''' | '''<font color="orange">Real-time digital look-and-sound-alike crime</font>''' | In April a man in northern China was defrauded of 4.3 million yuan by a criminal employing a digital look-and-sound-alike pretending to be his friend on a video call made with a stolen messaging service account.<ref name="Reuters real-time digital look-and-sound-alike crime  2023"/>

* '''2023''' | '''<font color="orange">Election meddling with digital look-alikes</font>''' | The [[w:2023 Turkish presidential election]] saw numerous deepfake controversies. 

** "''Ahead of the election in Turkey, President Recep Tayyip Erdogan showed a video linking his main challenger Kemal Kilicdaroglu to the militant Kurdish organization PKK.''" [...] "''Research by DW's fact-checking team in cooperation with DW's Turkish service shows that the video at the campaign rally was '''manipulated''' by '''combining two separate videos''' with totally different backgrounds and content.''" [https://www.dw.com/en/fact-check-turkeys-erdogan-shows-false-kilicdaroglu-video/a-65554034 reports dw.com] 

* '''2023''' | March 7 th | '''<font color="red">science / demonstration</font>''' | Microsoft researchers submitted a paper for publication outlining their [https://arxiv.org/abs/2303.03926 '''Cross-lingual neural codec language modeling system''' at arxiv.org] dubbed [https://www.microsoft.com/en-us/research/project/vall-e-x/vall-e-x/ '''VALL-E X''' at microsoft.com], that extends upon VALL-E's capabilities to be cross-lingual and also maintaining the same "''emotional tone''" from sample to fake. 

* '''2023''' | January 5th | '''<font color="red">science / demonstration</font>''' | Microsoft researchers announced [https://www.microsoft.com/en-us/research/project/vall-e/ '''''VALL-E''''' - Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (at microsoft.com)] that is able to thieve a voice from only '''3 seconds of sample''' and it is also able to mimic the "''emotional tone''" of the sample the synthesis if produced of.<ref>
{{cite web
	| url = https://arstechnica.com/information-technology/2023/01/microsofts-new-ai-can-simulate-anyones-voice-with-3-seconds-of-audio/
	| title = Microsoft’s new AI can simulate anyone’s voice with 3 seconds of audio
	| last = Edwards
	| first = Benj
	| date = 2023-01-10
	| website = [[w:Arstechnica.com]]
	| publisher = Arstechnica
	| access-date = 2023-05-05
	| quote = For the paper's conclusion, they write: "Since VALL-E could synthesize speech that maintains speaker identity, it may carry potential risks in misuse of the model, such as spoofing voice identification or impersonating a specific speaker. To mitigate such risks, it is possible to build a detection model to discriminate whether an audio clip was synthesized by VALL-E. We will also put Microsoft AI Principles into practice when further developing the models."
}}
</ref>

* '''2023''' | January 1st | '''<font color="green">Law</font>''' | {{#lst:Law on sexual offences in Finland 2023|what-is-it}} 

* '''2022''' | <font color="orange">'''science'''</font> and <font color="green">'''demonstration'''</font> | [[w:OpenAI]][https://openai.com/ (.com)] published [[w:ChatGPT]], a discutational AI accessible with a free account at [https://chat.openai.com/ chat.openai.com]. Initial version was published on 2022-11-30.

* '''2022''' | '''<font color="green">brief report of counter-measures</font>''' | {{#lst:Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms|what-is-it}} Publication date 2022-11-23.

* '''2022''' | '''<font color="green">counter-measure</font>''' | {{#lst:Detecting deep-fake audio through vocal tract reconstruction|what-is-it}}
:{{#lst:Detecting deep-fake audio through vocal tract reconstruction|original-reporting}}. Presented to peers in August 2022 and to the general public in September 2022.

* '''2022''' | <font color="orange">'''disinformation attack'''</font> | In June 2022 a fake digital look-and-sound-alike in the appearance and voice of [[w:Vitali Klitschko]], mayor of [[w:Kyiv]], held fake video phone calls with several European mayors. The Germans determined that the video phone call was fake by contacting the Ukrainian officials. This attempt at covert disinformation attack was originally reported by [[w:Der Spiegel]].<ref>https://www.theguardian.com/world/2022/jun/25/european-leaders-deepfake-video-calls-mayor-of-kyiv-vitali-klitschko</ref><ref>https://www.dw.com/en/vitali-klitschko-fake-tricks-berlin-mayor-in-video-call/a-62257289</ref>

* '''2022''' | science | [[w:DALL-E]] 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles" was published in April 2022.<ref>{{Cite web |title=DALL·E 2 |url=https://openai.com/dall-e-2/ |access-date=2023-04-22 |website=OpenAI |language=en-US}}</ref> ([https://en.wikipedia.org/w/index.php?title=DALL-E&oldid=1151136107 Wikipedia])


* '''2022''' | '''<font color="green">counter-measure</font>''' | {{#lst:Protecting President Zelenskyy against deep fakes|what-is-it}} Preprint published in February 2022 and submitted to [[w:arXiv]] in June 2022

* '''2022''' | '''<font color="green">science / review of counter-measures</font>''' | [https://www.mdpi.com/1999-4893/15/5/155 ''''''A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions'''''' at mdpi.com]<ref name="Audio Deepfake detection review 2022">

{{cite journal
| last1      = Almutairi
| first1     = Zaynab
| last2      = Elgibreen
| first2     = Hebah
| date       = 2022-05-04
| title      = A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions
| url        = https://www.mdpi.com/1999-4893/15/5/155
| journal    = [[w:Algorithms (journal)]]
| volume     = 
| issue      = 
| pages      = 
| doi        = https://doi.org/10.3390/a15050155
| access-date = 2022-10-18
}}

</ref>, a review of audio deepfake detection methods by researchers Zaynab Almutairi and Hebah Elgibreen of the [[w:King Saud University]], Saudi Arabia published in [[w:Algorithms (journal)]] on Wednesday 2022-05-04 published by the [[w:MDPI]] (Multidisciplinary Digital Publishing Institute). This article belongs to the Special Issue [https://www.mdpi.com/journal/algorithms/special_issues/Adversarial_Federated_Machine_Learning ''Commemorative Special Issue: Adversarial and Federated Machine Learning: State of the Art and New Perspectives'' at mdpi.com]

* '''2022''' | '''<font color="green">science / counter-measure</font>''' | [https://arxiv.org/abs/2203.15563 ''''''Attacker Attribution of Audio Deepfakes'''''' at arxiv.org], a pre-print was presented at the [https://www.interspeech2022.org/ Interspeech 2022 conference] organized by [[w:International Speech Communication Association]] in Korea September 18-22 2022.

* '''2021''' | Science and demonstration | In the NeurIPS 2021 held virtually in December researchers from Nvidia and [[w:Aalto University]] present their paper [https://nvlabs.github.io/stylegan3/ '''''Alias-Free Generative Adversarial Networks (StyleGAN3)''''' at nvlabs.github.io] and associated [https://github.com/NVlabs/stylegan3 implementation] in [[w:PyTorch]] and the results are deceivingly human-like in appearance. [https://nvlabs-fi-cdn.nvidia.com/stylegan3/stylegan3-paper.pdf StyleGAN3 paper as .pdf at nvlabs-fi-cdn.nvidia.com]

* '''2021''' | Entertainment | The Swedish pop band [[w:ABBA]] published an album in September and will be performing shows where the music is live and real, but the visuals will be [[#Age analysis and rejuvenating and aging syntheses|rejuvenated]] [[#Digital look-alikes|digital look-alikes]] of the band members displayed to the fans with [[w:holography]] technology. ABBA used [[w:Industrial Light & Magic]] as the purveyor of technology. [[w:Industrial Light & Magic]] was acquired by [[w:The Walt Disney Company]] in 2012 as part of their acquisition [[w:Lucasfilm]].

* '''2021''' | Controversy | July 2021 saw the release of [[w:Roadrunner: A Film About Anthony Bourdain]] and soon controversy arose, as the director [[w:Morgan Neville]] admitted to [[w:Helen Rosner]], a food writer for [[w:The New Yorker]] that he had contracted an AI company to thieve [[w:Anthony Bourdain]]'s voice and used it to insert audio that sounded like him, without declaring it as faked.<ref name="NewYorker 2020">

{{Cite magazine
|last=Rosner
|first=Helen
|author-link=[[w:Helen Rosner]]
|date=2021-07-15
|title=A Haunting New Documentary About Anthony Bourdain
|url=https://www.newyorker.com/culture/annals-of-gastronomy/the-haunting-afterlife-of-anthony-bourdain
|url-status=live
|access-date=2021-08-25
|magazine=[[w:The New Yorker]]
|language=en-US
}}

</ref><ref group="1st seen in">
Witness newsletter I subscribed to at https://www.witness.org/get-involved/
</ref>

* '''2021''' | Science | [https://arxiv.org/pdf/2102.05630.pdf '''''Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning''''' .pdf at arxiv.org], a paper submitted in Feb 2021 by researchers from the [[w:University of Turin]].<ref group="1st seen in" name="ConnectedPapers suggestion on Google Transfer learning 2018" />

* '''2021''' | '''<font color="red">crime / fraud</font>''' | {{#lst:Synthetic human-like fakes|2021 digital sound-alike enabled fraud}}

* '''2021''' | science and demonstration | '''DALL-E''', a [[w:deep learning]] model developed by [[w:OpenAI]] to generate digital images from [[w:natural language]] descriptions, called "prompts" was published in January 2021. DALL-E uses a version of [[w:GPT-3]] modified to generate images. (Adapted from [https://en.wikipedia.org/w/index.php?title=DALL-E&oldid=1151136107 Wikipedia])

* '''<font color="green">2020</font>''' | '''<font color="green">counter-measure</font>''' | The [https://incidentdatabase.ai/ ''''''AI Incident Database'''''' at incidentdatabase.ai] was introduced on 2020-11-18 by the [[w:Partnership on AI]].<ref name="PartnershipOnAI2020">https://www.partnershiponai.org/aiincidentdatabase/</ref>

[[File:Appearance of Queen Elizabeth II stolen by Channel 4 in Dec 2020 (screenshot at 191s).png|thumb|right|480px|In Dec 2020 Channel 4 aired a Queen-like fake i.e. they had thieved the appearance of Queen Elizabeth II using deepfake methods.]]

* '''2020''' | '''Controversy''' / '''Public service announcement''' | Channel 4 thieved the appearance of Queen Elizabeth II using deepfake methods. The product of synthetic human-like fakery originally aired on Channel 4 on 25 December at 15:25 GMT.<ref name="Queen-like deepfake 2020 BBC  reporting">https://www.bbc.com/news/technology-55424730</ref> [https://www.youtube.com/watch?v=IvY-Abd2FfM&t=3s View in YouTube]

* '''2020''' | reporting | [https://www.wired.co.uk/article/deepfake-porn-websites-videos-law "''Deepfake porn is now mainstream. And major sites are cashing in''" at wired.co.uk] by Matt Burgess. Published August 2020.

* '''2020''' | demonstration | '''[https://moondisaster.org/ Moondisaster.org]''' (full film embedded in website) project by the [https://virtuality.mit.edu/ Center for Advanced Virtuality] of the [[w:Massachusetts Institute of Technology|w:MIT]] published in July 2020, makes use of various methods of making a synthetic human-like fake. Alternative place to watch: [https://www.youtube.com/watch?v=LWLadJFI8Pk ''In Event of Moon Disaster - FULL FILM'' at youtube.com]  
** [https://www.cnet.com/news/mit-releases-deepfake-video-of-nixon-announcing-nasa-apollo-11-disaster/ Cnet.com July 2020 reporting ''MIT releases deepfake video of 'Nixon' announcing NASA Apollo 11 disaster'']

* '''2020''' | US state law | {{#lst:Laws against synthesis and other related crimes|California2020}}
* '''2020''' | Chinese legislation |  {{#lst:Laws against synthesis and other related crimes|China2020}}

== 2010's synthetic human-like fakes ==
* '''2019''' | science and demonstration | At the December 2019 NeurIPS conference, a novel method for making animated fakes of anything with AI [https://aliaksandrsiarohin.github.io/first-order-model-website/ '''''First Order Motion Model for Image Animation''''' (website at aliaksandrsiarohin.github.io)], [https://proceedings.neurips.cc/paper/2019/file/31c0b36aef265d9221af80872ceb62f9-Paper.pdf (paper)] [https://github.com/AliaksandrSiarohin/first-order-model (github)] was presented.<ref group="1st seen in">https://www.technologyreview.com/2020/08/28/1007746/ai-deepfakes-memes/</ref>
** Reporting [https://www.technologyreview.com/2020/08/28/1007746/ai-deepfakes-memes/ '''''Memers are making deepfakes, and things are getting weird''''' at technologyreview.com], 2020-08-28 by Karen Hao.
* '''2019''' | demonstration | In September 2019 [[w:Yle]], the Finnish [[w:public broadcasting company]], aired a result of experimental [[w:journalism]], [https://yle.fi/uutiset/3-10955498 '''a deepfake of the President in office'''] [[w:Sauli Niinistö]] in its main news broadcast for the purpose of highlighting the advancing disinformation technology and problems that arise from it.
* '''2019''' | US state law | {{#lst:Laws against synthesis and other related crimes|Texas2019}}
* '''2019''' | US state law | {{#lst:Laws against synthesis and other related crimes|Virginia2019}}
* '''2019''' | Science | [https://arxiv.org/pdf/1809.10460.pdf '''''Sample Efficient Adaptive Text-to-Speech''''' .pdf at arxiv.org], a 2019 paper from Google researchers, published as a conference paper at [[w:International Conference on Learning Representations]] (ICLR)<ref group="1st seen in" name="ConnectedPapers suggestion on Google Transfer learning 2018"> https://www.connectedpapers.com/main/8fc09dfcff78ac9057ff0834a83d23eb38ca198a/Transfer-Learning-from-Speaker-Verification-to-Multispeaker-TextToSpeech-Synthesis/graph</ref>

* '''2019''' | science and demonstration | [https://arxiv.org/pdf/1905.09773.pdf ''''Speech2Face: Learning the Face Behind a Voice'''' at arXiv.org] a system for generating likely facial features based on the voice of a person, presented by the [[w:MIT Computer Science and Artificial Intelligence Laboratory]] at the 2019 [[w:Conference on Computer Vision and Pattern Recognition|w:CVPR]]. [https://github.com/saiteja-talluri/Speech2Face Speech2Face at github.com] This may develop to something that really causes problems. [https://neurohive.io/en/news/speech2face-neural-network-predicts-the-face-behind-a-voice/ "Speech2Face: Neural Network Predicts the Face Behind a Voice" reporing at neurohive.io], [https://belitsoft.com/speech-recognition-software-development/speech2face "Speech2Face Sees Voices and Hears Faces: Dreams Come True with AI" reporting at belitsoft.com]

* '''2019''' | <font color="red">'''crime'''</font> | '''[[w:Fraud]]''' with [[#digital sound-alikes|digital sound-alike]] technology surfaced in 2019. See [https://www.washingtonpost.com/technology/2019/09/04/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft/?noredirect=on ''''''An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft''''''], a 2019 Washington Post article or [https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/ ''''''A Voice Deepfake Was Used To Scam A CEO Out Of $243,000'''''' at Forbes.com] (2019-09-03)

* '''2019''' | demonstration | [http://whichfaceisreal.com/ ''''''Which Face is real?'''''' at whichfaceisreal.com] is an easily unnerving game by [http://ctbergstrom.com/ Carl Bergstrom] and [https://jevinwest.org/ Jevin West] where you need to '''try to distinguish''' from a pair of photos '''which is real and which is not'''. A part of the "tools" of the [https://callingbullshit.org/ Calling Bullshit] course taught at the [[w:University of Washington]]. <font color="green">'''Relevancy: certain'''</font>

* '''2019''' | demonstration | '''[https://www.thispersondoesnotexist.com/ 'Thispersondoesnotexist.com']''' (since February 2019) by Philip Wang. It showcases a [[w:StyleGAN]] at the task of making an endless stream of pictures that look like no-one in particular, but are eerily human-like. <font color="green">'''Relevancy: certain'''</font>

* '''2019''' | action | [[w:Nvidia]] [[w:open source]]s [[w:StyleGAN]], a novel [[w:generative adversarial network]].<ref name="Medium2019">

{{Cite web 
|url=https://medium.com/syncedreview/nvidia-open-sources-hyper-realistic-face-generator-stylegan-f346e1a73826  
|title= NVIDIA Open-Sources Hyper-Realistic Face Generator StyleGAN
|last= 
|first= 
|date= 2019-02-09
|website= [[Medium.com]]
|access-date= 2020-07-13
}}

</ref>

* '''<font color="green">2018</font>''' | '''<font color="green">counter-measure</font>''' | In September 2018 Google added “'''involuntary synthetic pornographic imagery'''” to its '''ban list''', allowing anyone to request the search engine block results that falsely depict them as “nude or in a sexually explicit situation.”<ref name="WashingtonPost2018">

{{cite web
 |url= https://www.washingtonpost.com/technology/2018/12/30/fake-porn-videos-are-being-weaponized-harass-humiliate-women-everybody-is-potential-target/
 |title= Fake-porn videos are being weaponized to harass and humiliate women: 'Everybody is a potential target'
 |last= Harwell
 |first= Drew
 |date= 2018-12-30
 |website= 
 |publisher= [[w:The Washington Post]]
 |access-date= 2020-07-13 
 |quote= In September [of 2018], Google added “involuntary synthetic pornographic imagery” to its ban list
}}

</ref> '''[https://support.google.com/websearch/answer/9116649?hl=en Information on removing involuntary fake pornography from Google at support.google.com]''' if it shows up in Google and the '''[https://support.google.com/websearch/troubleshooter/3111061#ts=2889054%2C2889099%2C2889064%2C9171203 form to request removing involuntary fake pornography at support.google.com]''', select "''I want to remove: A fake nude or sexually explicit picture or video of myself''"

[[File:GoogleLogoSept12015.png|thumb|right|300px|[[w:Google]]'s logo. Google Research demonstrated their '''[https://google.github.io/tacotron/publications/speaker_adaptation/ sound-like-anyone-machine]''' at the '''2018''' [[w:Conference on Neural Information Processing Systems|w:Conference on Neural Information Processing Systems]] (NeurIPS). It requires only 5 seconds of sample to steal a voice.]]

* '''<font color="red">2018</font>''' | <font color="red">science</font> and <font color="red">demonstration</font> | The work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis ''''Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis''''] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented at the 2018 [[w:Conference on Neural Information Processing Systems]] ('''NeurIPS'''). The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results.

* '''2018''' | science | [https://arxiv.org/abs/1710.10196 '''Progressive Growing of GANs for Improved Quality, Stability, and Variation''' at arxiv.org] ([https://arxiv.org/pdf/1710.10196.pdf .pdf]), colloquially known as ProGANs were presented by Nvidia researchers at the [https://iclr.cc/Conferences/2018 2018 ICLR]. [[w:International Conference on Learning Representations]] 

* '''2018''' | demonstration | At the 2018 [[w:World Internet Conference]] in [[w:Wuzhen]] the [[w:Xinhua News Agency]] presented two digital look-alikes made to the resemblance of its real news anchors Qiu Hao ([[w:Chinese language]])<ref name="TheGuardian2018">
{{cite web
 | url = https://www.theguardian.com/world/2018/nov/09/worlds-first-ai-news-anchor-unveiled-in-china
 | title = World's first AI news anchor unveiled in China 
 | last = Kuo
 | first =  Lily
 | date = 2018-11-09
 | website = 
 | access-date = 2020-07-13
 | quote = }}
</ref> and Zhang Zhao ([[w:English language]]). The digital look-alikes were made in conjunction with [[w:Sogou]].<ref name="BusinessInsider2018">
{{cite web
 | url = https://businessinsider.com/ai-news-anchor-created-by-china-xinhua-news-agency-2018-11
 | title = China created what it claims is the first AI news anchor — watch it in action here 
 | last = Hamilton
 | first =  Isobel Asher
 | date = 2018-11-09
 | website = 
 | access-date = 2020-07-13
 | quote = }}
</ref> Neither the [[w:speech synthesis]] used nor the gesturing of the digital look-alike anchors were good enough to deceive the watcher to mistake them for real humans imaged with a TV camera.

* '''2018''' | action | [https://schiff.house.gov/imo/media/doc/2018-09%20ODNI%20Deep%20Fakes%20letter.pdf '''Deep Fakes letter to the Office of the Director of National Intelligence''' at schiff.house.gov], a letter sent to the [[w:Director of National Intelligence]] on 2018-09-13 by congresspeople [[w:Adam Schiff]], [[w:Stephanie Murphy]] and [[w:Carlos Curbelo]] requesting a report be compiled on the synthetic human-like fakes situation and what are the threats and what could be the solutions.<ref group="1st seen in">[https://uk.pcmag.com/security/117402/us-lawmakers-ai-generated-fake-videos-may-be-a-security-threat ''''''US Lawmakers: AI-Generated Fake Videos May Be a Security Threat'''''' at uk.pcmag.com], 2018-09-13 reporting by Michael Kan</ref>

* '''2018''' | controversy / demonstration | The [[w:deepfake]]s controversy surfaces where [[w:Pornographic film|porn video]]s were doctored utilizing [[w:deep learning|w:deep machine learning]] so that the face of the actress was replaced by the software's opinion of what another persons face would look like in the same pose and lighting.

* '''2017''' | science | '''[http://grail.cs.washington.edu/projects/AudioToObama/ 'Synthesizing Obama: Learning Lip Sync from Audio' at grail.cs.washington.edu]'''. In SIGGRAPH 2017 by Supasorn Suwajanakorn et al. of the [[w:University of Washington]] presented an audio driven digital look-alike of upper torso of Barack Obama. It was driven only by a voice track as source data for the animation after the training phase to acquire [[w:lip sync]] and wider facial information from [[w:training material]] consisting 2D videos with audio had been completed.<ref name="Suw2017">{{Citation
 | last = Suwajanakorn | first = Supasorn 
 | author-link = 
 | last2 = Seitz | first2 = Steven 
 | author2-link = 
 | last3 = Kemelmacher-Shlizerman | first3 = Ira 
 | author3-link = 
 | title = Synthesizing Obama: Learning Lip Sync from Audio
 | publisher = [[University of Washington]]
 | year = 2017 
 | url = http://grail.cs.washington.edu/projects/AudioToObama/
 | access-date = 2020-07-13 }}
</ref> <font color="green">'''Relevancy: certain'''</font>

* '''2016''' | movie | '''[[w:Rogue One]]''' is a Star Wars film for which digital look-alikes of actors [[w:Peter Cushing]] and [[w:Carrie Fisher]] were made. In the film their appearance would appear to be of same age as the actors were during the filming of the original 1977 ''[[w:Star Wars (film)]]'' film.

* '''2016''' | science / demonstration | [[w:DeepMind]]'s [[w:WaveNet]] owned by [[w:Google]] also demonstrated ability to steal people's voices

[[File:Adobe Corporate Logo.png|thumb|right|300px|[[w:Adobe Inc.]]'s logo. We can thank Adobe for publicly demonstrating their sound-like-anyone-machine in '''2016''' before an implementation was sold to criminal organizations.]]

{{#ev:youtube|I3l4XLZ59iw|420px|left|'''''#[[w:Adobe Voco]]. Adobe Audio Manipulator Sneak Peak with [[w:Jordan Peele]]''''' (at Youtube.com). November 2016 demonstration of a Adobe's unreleased sound-like-anyone-machine, the '''[[w:Adobe Voco]]''' at the [[w:Adobe MAX]] 2016 event in [[w:San Diego]], [[w:California]]. The original Adobe Voco '''required 20 minutes of sample''' to '''thieve a voice'''.}}
* '''<font color="red">2016</font>''' | <font color="red">science</font> and demonstration | '''[[w:Adobe Inc.]]''' publicly demonstrates '''[[w:Adobe Voco]]''', a '''sound-like-anyone machine''' [https://www.youtube.com/watch?v=I3l4XLZ59iw '#VoCo. Adobe Audio Manipulator Sneak Peak with Jordan Peele | Adobe Creative Cloud' on Youtube]. THe original Adobe Voco required '''20 minutes''' of sample '''to thieve a voice'''. <font color="green">'''Relevancy: certain'''</font>.

* '''2016''' | science | '''[http://www.niessnerlab.org/projects/thies2016face.html 'Face2Face: Real-time Face Capture and Reenactment of RGB Videos' at Niessnerlab.org]''' A paper (with videos) on the semi-real-time 2D video manipulation with gesture forcing and lip sync forcing synthesis by Thies et al, Stanford. <font color="green">'''Relevancy: certain'''</font>

* '''2016''' | music video | [https://www.youtube.com/watch?v=tMQHAy0HUDo ''''''Plug'''''' by Kube at youtube.com] - A 2016 music video by [[w:Kube (rapper)]] ([[w:fi:Kube]]), that shows deepfake-like technology this early. Video was uploaded on 2016-09-15 and is directed by Faruk Nazeri.

* '''2015''' | Science | [https://arxiv.org/abs/1411.7766v3 ''''''Deep Learning Face Attributes in the Wild'''''' at arxiv.org] presented at the 2015 [[w:International Conference on Computer Vision]] 

* '''2015''' | movie | In the ''[[w:Furious 7]]'' a digital look-alike made of the actor [[w:Paul Walker]] who died in an accident during the filming was done by [[w:Weta Digital]] to enable the completion of the film.<ref name="thr2015">
{{cite web
 | url = http://www.hollywoodreporter.com/behind-screen/furious-7-how-peter-jacksons-784157
 | title = 'Furious 7' and How Peter Jackson's Weta Created Digital Paul Walker
 | last = Giardina 
 | first =  Carolyn 
 | date = 2015-03-25
 | work=[[The Hollywood Reporter]]
 | access-date = 2020-07-13
 | quote = }}
</ref>

* '''2014''' | science | [[w:Ian Goodfellow]] et al. presented the principles of a '''[[w:generative adversarial network]]'''.  '''GAN'''s made the headlines in early 2018 with the [[w:deepfake]]s controversies.

* '''2013''' | demonstration | At the 2013 SIGGGRAPH [[w:Activision]] and USC presented a [[w:real time computing]] "Digital Ira" a digital face look-alike of Ari Shapiro, an ICT USC research scientist,<ref name="reform_youtube2015">
{{cite AV media
 | people =
 | title = ReForm - Hollywood's Creating Digital Clones
 | medium = youtube
 | publisher = The Creators Project
 | location =
 | date = 2020-07-13
 | url = https://www.youtube.com/watch?v=lTC3k9Iv4r0
}}

</ref> utilizing the USC light stage X by Ghosh et al. for both reflectance field and motion capture.<ref name="Deb2013">{{cite web
  | last = Debevec
  | first = Paul
  | title = Digital Ira SIGGRAPH 2013 Real-Time Live
  | website =
  | date =
  | url = http://gl.ict.usc.edu/Research/DigitalIra/
  | format =
  | doi =
  | accessdate =  2017-07-13}}
</ref> The end result both precomputed and real-time rendering with the modernest game [[w:Graphics processing unit|w:GPU]] shown [http://gl.ict.usc.edu/Research/DigitalIra/ here] and looks fairly realistic.

* '''2013''' | demonstration | A '''[https://ict.usc.edu/pubs/Scanning%20and%20Printing%20a%203D%20Portrait%20of%20President%20Barack%20Obama.pdf 'Scanning and Printing a 3D Portrait of President Barack Obama' at ict.usc.edu]'''.  A 7D model and a 3D bust was made of President Obama with his consent. Relevancy: <font color="green">'''Relevancy: certain'''</font>

* '''2011''' | <font color="green">'''Law in Finland'''</font> | Distribution and attempt of distribution and also possession of '''synthetic [[w:Child sexual abuse material|CSAM]]''' was '''criminalized''' on Wednesday 2011-06-01, upon the initiative of the [[w:Vanhanen II Cabinet]]. These protections against CSAM were moved into 19 §, 20 § and 21 § of Chapter 20 when the [[Law on sexual offences in Finland 2023]] was improved and gathered into Chapter 20 upon the initiative of the [[w:Marin Cabinet]].

== 2000's synthetic human-like fakes ==

* '''2010''' | movie | [[w:Walt Disney Pictures]] released a sci-fi sequel entitled ''[[w:Tron: Legacy]]'' with a digitally rejuvenated digital look-alike made of the actor [[w:Jeff Bridges]] playing the [[w:antagonist]] [[w:List of Tron characters#CLU|w:CLU]].

* '''2009''' | movie | A digital look-alike of a younger [[w:Arnold Schwarzenegger]] was made for the movie ''[[w:Terminator Salvation]]'' though the end result was critiqued as unconvincing. Facial geometry was acquired from a 1984 mold of Schwarzenegger.

* '''2009''' | demonstration | [http://www.ted.com/talks/paul_debevec_animates_a_photo_real_digital_face.html Paul Debevec: ''''Animating a photo-realistic face'''' at ted.com] Debevec et al. presented new digital likenesses, made by [[w:Image Metrics]], this time of actress [[w:Emily O'Brien]] whose reflectance was captured with the USC light stage 5. At 00:04:59 you can see two clips, one with the real Emily shot with a real camera and one with a digital look-alike of Emily, shot with a simulation of a camera - <u>Which is which is difficult to tell</u>. Bruce Lawmen was scanned using USC light stage 6 in still position and also recorded running there on a [[w:treadmill]]. Many, many digital look-alikes of Bruce are seen running fluently and natural looking at the ending sequence of the TED talk video. <ref name="Deb2009">[http://www.ted.com/talks/paul_debevec_animates_a_photo_real_digital_face.html In this TED talk video] at 00:04:59 you can see ''two clips, one with the real Emily shot with a real camera and one with a digital look-alike of Emily, shot with a simulation of a camera - <u>Which is which is difficult to tell</u>''. Bruce Lawmen was scanned using USC light stage 6 in still position and also recorded running there on a [[w:treadmill]]. Many, many digital look-alikes of Bruce are seen running fluently and natural looking at the ending sequence of the TED talk video.</ref> Motion looks fairly convincing contrasted to the clunky run in the [[w:Animatrix#Final Flight of the Osiris|w:''Animatrix: Final Flight of the Osiris'']] which was [[w:state-of-the-art]] in 2003 if photorealism was the intention of the [[w:animators]].

* '''2004''' | movie | The '''[[w:Spider-man 2]]''' (and '''[[w:Spider-man 3]]''', 2007) films. Relevancy: The films include a [[Synthetic human-like fakes#Digital look-alike|digital look-alike]] made of actor [[w:Tobey Maguire]] by [[w:Sony Pictures Imageworks]].<ref name="Pig2005">{{cite web
  | last = Pighin
  | first = Frédéric
  | author-link =
  | title = Siggraph 2005 Digital Face Cloning Course Notes
  | website =
  | date =
  | url = http://pages.cs.wisc.edu/~lizhang/sig-course-05-face/COURSE_9_DigitalFaceCloning.pdf
  | format =
  | doi =
  | accessdate = 2020-06-26}}
</ref>

* '''2003''' | short film | [[w:The Animatrix#Final Flight of the Osiris|w:''The Animatrix: Final Flight of the Osiris'']] a [[w:state-of-the-art]] want-to-be human likenesses not quite fooling the watcher made by [[w:Square Pictures#Square Pictures|w:Square Pictures]].

[[File:The-matrix-logo.svg|thumb|left|300px|Logo of the [[w:The Matrix (franchise)]]]]

[[File:BSSDF01_400.svg|thumb|left|300px|Traditional [[w:Bidirectional reflectance distribution function|w:BRDF]] vs. [[w:subsurface scattering|subsurface scattering]] inclusive BSSRDF i.e. [[w:Bidirectional scattering distribution function#Overview of the BxDF functions|w:Bidirectional scattering-surface reflectance distribution function]]. <br/><br/>

An analytical BRDF must take into account the subsurface scattering, or the end result '''will not pass human testing'''.]]

* '''2003''' | movie(s) | The '''[[w:Matrix Reloaded]]''' and '''[[w:Matrix Revolutions]]''' films. Relevancy: '''First public display''' of '''[[synthetic human-like fakes#Digital look-alikes|digital look-alikes]]''' that are virtually '''indistinguishable from''' the '''real actors'''. [https://www.researchgate.net/publication/215518319_Universal_Capture_-_Image-based_Facial_Animation_for_The_Matrix_Reloaded ''''''Universal Capture - Image-based Facial Animation for "The Matrix Reloaded"'''''' at researchgate.net] (2003)

{{#ev:youtube|3qIXIHAmcKU|640px|right|Music video for '''''Bullet''''' by [[w:Covenant (band)|w:Covenant]] from 2002. Here you can observe the classic "''skin looks like cardboard''"-bug that stopped the pre-reflectance capture era versions from passing human testing.}}

* '''2002''' | music video | '''[https://www.youtube.com/watch?v=3qIXIHAmcKU 'Bullet' by Covenant on Youtube]''' by [[w:Covenant (band)]] from their album [[w:Northern Light (Covenant album)]]. Relevancy: Contains the best upper-torso digital look-alike of Eskil Simonsson (vocalist) that their organization could procure at the time. Here you can observe the '''classic "''skin looks like cardboard''"-bug''' (assuming this was not intended) that '''thwarted efforts to''' make digital look-alikes that '''pass human testing''' before the '''reflectance capture and dissection in 1999''' by [[w:Paul Debevec]] et al. at the [[w:University of Southern California]] and subsequent development of the '''"Analytical [[w:bidirectional reflectance distribution function|w:BRDF]]"''' (quote-unquote) by ESC Entertainment, a company set up for the '''sole purpose''' of '''making the cinematography''' for the 2003 films Matrix Reloaded and Matrix Revolutions '''possible''', lead by George Borshukov.

== 1990's synthetic human-like fakes ==

[[File:Institute for Creative Technologies (logo).jpg|thumb|left|156px|Logo of the '''[[w:Institute for Creative Technologies]]''' founded in 1999 in the [[w:University of Southern California]] by the [[w:United States Army]]]]

* <font color="red">'''1999'''</font> | <font color="red">'''science'''</font> | '''[http://dl.acm.org/citation.cfm?id=344855 'Acquiring the reflectance field of a human face' paper at dl.acm.org ]''' [[w:Paul Debevec]] et al. of [[w:University of Southern California|w:USC]] did the '''first known reflectance capture''' over '''the human face''' with their extremely simple [[w:light stage]]. They presented their method and results in [[w:SIGGRAPH]] 2000. The scientific breakthrough required finding the [[w:subsurface scattering|w:subsurface light component]] (the simulation models are glowing from within slightly) which can be found using knowledge that light that is reflected from the oil-to-air layer retains its [[w:Polarization (waves)]] and the subsurface light loses its polarization. So equipped only with a movable light source, movable video camera, 2 polarizers and a computer program doing extremely simple math and the last piece required to reach photorealism was acquired.<ref name="Deb2000"/>

* <font color="red">'''1999'''</font> | <font color="red">'''institute founded'''</font> | The '''[[w:Institute for Creative Technologies]]''' was founded by the [[w:United States Army]] in the [[w:University of Southern California]]. It collaborates with the [[w:United States Army Futures Command]], [[w:United States Army Combat Capabilities Development Command]], [[w:Combat Capabilities Development Command Soldier Center]] and [[w:United States Army Research Laboratory]].<ref name="ICT-about">https://ict.usc.edu/about/</ref>. In 2016 [[w:Hao Li]] was appointed to direct the institute. 

* '''1997''' | '''technology / science''' | [https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/human/bregler-sig97.pdf ''''Video rewrite: Driving visual speech with audio'''' at www2.eecs.berkeley.edu]<ref name="Bregler1997" /><ref group="1st seen in" name="Bohacek-Farid-2022">

PROTECTING PRESIDENT ZELENSKYY AGAINST DEEP FAKES https://arxiv.org/pdf/2206.12043.pdf

</ref> Christoph Breigler, Michelle Covell and Malcom Slaney presented their work at the ACM SIGGRAPH 1997. [https://www.dropbox.com/sh/s4l00z7z4gn7bvo/AAAP5oekFqoelnfZYjS8NQyca?dl=0 Download video evidence of ''Video rewrite: Driving visual speech with audio'' Bregler et al 1997 from dropbox.com], [http://chris.bregler.com/videorewrite/ view author's site at chris.bregler.com], [https://dl.acm.org/doi/10.1145/258734.258880 paper at dl.acm.org] [https://www.researchgate.net/publication/220720338_Video_Rewrite_Driving_Visual_Speech_with_Audio paper at researchgate.net]

* '''1994''' | movie | [[w:The Crow (1994 film)]] was the first film production to make use of [[w:digital compositing]] of a computer simulated representation of a face onto scenes filmed using a [[w:body double]]. Necessity was the muse as the actor [[w:Brandon Lee]] portraying the protagonist was tragically killed accidentally on-stage.

== 1970's synthetic human-like fakes ==

{{#ev:vimeo|16292363|480px|right|''[[w:A Computer Animated Hand|w:A Computer Animated Hand]]'' is a 1972 short film by [[w:Edwin Catmull]] and [[w:Fred Parke]]. This was the first time that [[w:computer-generated imagery]] was used in film to animate likenesses of moving human appearance.}}

* '''1976''' | movie | ''[[w:Futureworld]]'' reused parts of ''A Computer Animated Hand'' on the big screen.

* '''1972''' | entertainment | '''[https://vimeo.com/59434349 'A Computer Animated Hand' on Vimeo]'''. [[w:A Computer Animated Hand]] by [[w:Edwin Catmull]] and [[w:Fred Parke]]. Relevancy: This was the '''first time''' that [[w:computer-generated imagery]] was used in film to '''animate''' moving '''human-like appearance'''.

* '''1971''' | science | '''[https://interstices.info/images-de-synthese-palme-de-la-longevite-pour-lombrage-de-gouraud/ 'Images de synthèse : palme de la longévité pour l’ombrage de Gouraud' (still photos)]'''. [[w:Henri Gouraud (computer scientist)]] made the first [[w:Computer graphics]] [[w:geometry]] [[w:digitization]] and representation of a human face. Modeling was his wife Sylvie Gouraud. The 3D model was a simple [[w:wire-frame model]] and he applied [[w:Gouraud shading]] to produce the '''first known representation''' of '''human-likeness''' on computer. <ref>{{cite web|title=Images de synthèse : palme de la longévité pour l'ombrage de Gouraud|url=http://interstices.info/jcms/c_25256/images-de-synthese-palme-de-la-longevite-pour-lombrage-de-gouraud}}</ref>

== 1960's synthetic human-like fakes ==

* '''1961''' | demonstration | The first singing by a computer was performed by an [[w:IBM 704]] and the song was [[w:Daisy Bell]], written in 1892 by British songwriter [[w:Harry Dacre]]. Go to [[Mediatheque#1961]] to view.

== 1930's synthetic human-like fakes ==
[[File:Homer Dudley (October 1940). "The Carrier Nature of Speech". Bell System Technical Journal, XIX(4);495-515. -- Fig.5 The voder being demonstrated at the New York World's Fair.jpg|thumb|left|300px|'''[[w:Voder]]''' demonstration pavillion at the [[w:1939 New York World's Fair]]]] 

* '''1939''' | demonstration | '''[[w:Voder]]''' (''Voice Operating Demonstrator'') from the [[w:Bell Labs|w:Bell Telephone Laboratory]] was the first time that [[w:speech synthesis]] was done electronically by breaking it down into its acoustic components. It was invented by [[w:Homer Dudley]] in 1937–1938 and developed on his earlier work on the [[w:vocoder]]. (Wikipedia)

== 1770's synthetic human-like fakes ==

[[File:Kempelen Speakingmachine.JPG|right|thumb|300px|A replica of [[w:Wolfgang von Kempelen]]'s [[w:Wolfgang von Kempelen's Speaking Machine]], built 2007–09 at the Department of [[w:Phonetics]], [[w:Saarland University]], [[w:Saarbrücken]], Germany. This machine added models of the tongue and lips, enabling it to produce [[w:consonant]]s as well as [[w:vowel]]s]]

* '''1791''' | science | '''[[w:Wolfgang von Kempelen's Speaking Machine]]''' of [[w:Wolfgang von Kempelen]] of [[w:Pressburg]], [[w:Hungary]], described in a 1791 paper was [[w:bellows]]-operated.<ref>''Mechanismus der menschlichen Sprache nebst der Beschreibung seiner sprechenden Maschine'' ("Mechanism of the human speech with description of its speaking machine", J. B. Degen, Wien).</ref> This machine added models of the tongue and lips, enabling it to produce [[w:consonant]]s as well as [[w:vowel]]s. (based on [[w:Speech synthesis#History]])

* '''1779''' | science / discovery | [[w:Christian Gottlieb Kratzenstein]] won the first prize in a competition announced by the [[w:Russian Academy of Sciences]] for '''models''' he built of the '''human [[w:vocal tract]]''' that could produce the five long '''[[w:vowel]]''' sounds.<ref name="Helsinki">
[http://www.acoustics.hut.fi/publications/files/theses/lemmetty_mst/chap2.html History and Development of Speech Synthesis], Helsinki University of Technology, Retrieved on November 4, 2006
</ref> (Based on [[w:Speech synthesis#History]])

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= Footnotes =
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== Contact information of organizations ==
Please contact [[Organizations, studies and events against synthetic human-like fakes|these organizations]] and tell them to work harder against the disinformation weapons

= 1st seen in =
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= References =
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