Editing Synthetic human-like fakes

Jump to navigation Jump to search
Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.

The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.

Latest revision Your text
Line 1: Line 1:
'''Definitions'''
'''Definitions'''
<section begin=definitions-of-synthetic-human-like-fakes />
<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]]'''.  
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">
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]]'''.
 
::[[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 synthetic filth]]''' 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''']].
{{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 />
<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: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}}]]
Line 101: Line 46:
<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>]]
<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  
In the cinemas we have seen digital look-alikes for over 15 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">
of the computer graphics field in their annual gathering SIGGRAPH 2000.<ref name="Deb2000">
{{cite book
{{cite book
Line 124: Line 69:
=== The problems with digital look-alikes ===
=== 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.  
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 '''synthetic terror porn'''<ref group="footnote" name="About the term synthetic terror porn">It is terminologically more precise, more inclusive and more useful to talk about 'synthetic terror porn', 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)
These industrially produced pornographic delusions are causing great humane 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. This '''hate illustration''' increases and strengthens hate thinking, hate speech, 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.


=== Fixing the problems from digital look-alikes ===
=== List of possible naked digital look-alike attacks ===


We need to move on 3 fields: [[Laws against synthesis and other related crimes|legal]], technological and cultural.
* The classic "''portrayal of as if in involuntary sex''"-attack. (Digital look-alike "cries")
 
* "''Sexual preference alteration''"-attack. (Digital look-alike "smiles")
'''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)]].
* "''Cutting / beating''"-attack  (Constructs a deceptive history for genuine scars)  
 
* "''Mutilation''"-attack (Digital look-alike "dies")
'''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]]
* "''Unconscious and injected''"-attack (Digital look-alike gets "disease")


=== Age analysis and rejuvenating and aging syntheses ===
=== Age analysis and rejuvenating and aging syntheses ===
Line 172: Line 111:


== Digital sound-alikes ==
== 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.]]
[[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.]]


Line 302: Line 227:
<section end=2021 digital sound-alike enabled fraud />
<section end=2021 digital sound-alike enabled fraud />


'''More fraud cases with digital sound-alikes'''
=== What should we do about 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
 
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.
 


=== Example of a hypothetical 4-victim digital sound-alike attack ===
=== Example of a hypothetical 4-victim digital sound-alike attack ===
Line 314: Line 243:
# 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 #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.
# Victim #4 - Our judiciary which prosecutes and possibly convicts the innocent victim #1.
Thus it is high time to act and to '''[[Law proposals to ban covert modeling|criminalize the covert modeling of human voice!]]'''


=== Examples of speech synthesis software not quite able to fool a human yet ===
=== Examples of speech synthesis software not quite able to fool a human yet ===
Line 345: Line 276:


[[File:Spectrogram-19thC.png|thumb|right|640px|A [[w:spectrogram]] of a male voice saying 'nineteenth century']]
[[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 ==
== 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.  
[[w:Chatbot]]s 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.
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]]
[[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)
''' Reporting / announcements '''
* [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://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.
Line 384: Line 296:
''' External links '''
''' 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.
* [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 ==
Line 466: Line 360:


== 2020's synthetic human-like fakes ==
== 2020's synthetic human-like fakes ==
 
[[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.]]
* '''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''' | 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]


Line 536: Line 370:
|last=Rosner
|last=Rosner
|first=Helen
|first=Helen
|author-link=[[w:Helen Rosner]]
|author-link=Helen Rosner
|date=2021-07-15
|date=2021-07-15
|title=A Haunting New Documentary About Anthony Bourdain
|title=A Haunting New Documentary About Anthony Bourdain
Line 553: Line 387:


* '''2021''' | '''<font color="red">crime / fraud</font>''' | {{#lst:Synthetic human-like fakes|2021 digital sound-alike enabled fraud}}
* '''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>
* '''<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''' | '''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]
Line 567: Line 396:
** [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'']
** [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''' | US state law | {{#lst:Laws against synthetic filth|California2020}}
* '''2020''' | Chinese legislation |  {{#lst:Laws against synthesis and other related crimes|China2020}}
* '''2020''' | Chinese legislation |  {{#lst:Laws against synthetic filth|China2020}}


== 2010's synthetic human-like fakes ==
== 2010's synthetic human-like fakes ==
Line 574: Line 403:
** 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.
** 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''' | 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 synthetic filth|Texas2019}}
* '''2019''' | US state law | {{#lst:Laws against synthesis and other related crimes|Virginia2019}}
* '''2019''' | US state law | {{#lst:Laws against synthetic filth|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 | [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>


Line 715: Line 544:


* '''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>
* '''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 ==
== 2000's synthetic human-like fakes ==
Line 760: Line 587:


* <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.  
* <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.
* '''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.
Line 804: Line 625:


== Contact information of organizations ==
== 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
Please contact these organizations and tell them to work harder against the disinformation weapons
<references group="contact" />


= 1st seen in =
= 1st seen in =
Please note that all contributions to Stop Synthetic Filth! wiki are considered to be released under the Creative Commons Attribution-ShareAlike (see SSF:Copyrights for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource. Do not submit copyrighted work without permission!

To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:

Cancel Editing help (opens in new window)