Editing Glossary

This is the '''SSF! wiki glossary'''. See '''[[resources]]''' for examples you will often find linked for your convenience.

= ACM =
The '''[[w:Association for Computing Machinery]]''' ('''ACM''') is a US-based international [[w:learned society]] for [[w:computing]]. It was founded in 1947, and is the world's largest scientific and educational computing society. (Wikipedia)

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= Adequate Porn Watcher AI =

'''''[[Adequate Porn Watcher AI (concept)]]''''' is a concept for an AI that ''would protect humans against visual synthetic filth by ripping the disinformation filth into revealing light''.

Main article '''[[Adequate Porn Watcher AI (concept)]]'''.

* eesti | et | Estonian ''''' Piisav Pornovaataja AI''''' on 2019. aasta tehisintellekti idee, ''mis kaitseks inimesi sünteetilise visuaalse saasta eest, rebides desinformatsioonisaasta valguse''.

* suomi | fi | Finnish | '''''Adequate Porn Watcher AI -tekoälykonsepti (eng)''''' on 2019 konsepti tekoälystä, ''joka suojelisi ihmisiä synteettistä visuaalista saastaa repimällä disinformaatiosaastan paljastavaan valoon''.

* français | fr | French | '''''l’IA Observateur Adéquat de Porno''''' (concept) (Adequate Porn Watcher AI en anglais) est une idée pour une IA qui ''protégerait les humains contre les saletés synthétiques visuelles en arrachent les saletés de désinformation en lumière révélatrice''.

* svenska | sv | Swedish '''''Adekvat Porr Tittare AI''''' är en idé från 2019 om artificiell intelligens som ''skulle skydda människor från syntetisk visuell orenhet genom att riva desinformationsorenhet till avslöjande ljus''.


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= Appearance and voice theft =
Appearance is thieved with [[digital look-alikes]] and voice is thieved with [[digital sound-alikes]]. These are new and very extreme forms of identity theft. Ban covert modeling and possession and doing anything with a model of a human's voice, but don't ban the [[Adequate Porn Watcher AI (concept)]].

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= Bidirectional reflectance distribution function =

[[File:BRDF_Diagram.svg|thumb|right|300px|Diagram showing vectors used to define the [[w:Bidirectional reflectance distribution function|w:BRDF]].]]

{{Q|The '''bidirectional reflectance distribution function''' ('''BRDF''') is a function of four real variables that defines how light is reflected at an [[w:Opacity (optics)|opaque]] surface. It is employed in the [[w:optics|optics]] of real-world light, in [[w:computer graphics|computer graphics]] algorithms, and in [[w:computer vision|computer vision]] algorithms.|Wikipedia|[[w:bidirectional reflectance distribution function|BRDF]]}}

A BRDF model is a 7 dimensional model containing geometry, textures and reflectance of the subject. 

The seven dimensions of the BRDF model are as follows: 
* 3 cartesian X,Y,Z 
* 2 for the entry angle
* 2 for the exit angle of the light.

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= Burqa =
[[File:20180613 Folkemodet Bornholm burka happening 0118 (42739707262).jpg|thumb|right|300px|Some humans in [[w:burqa]]s a the Bornholm burka happening]]
{{Q|A '''burqa''', also known as '''chadri''' or [[w:paranja|paranja]] in [[w:Central Asia|Central Asia]], is an enveloping outer garment worn by women in some Islamic traditions to cover themselves in public, which covers the body and the face.|Wikipedia|[[w:burqa|burqa]]s}}
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= Covert modeling =
'''Covert modeling''' refers to both covertly modeling aspects of a subject i.e. without express consent.

Main known cases are
* Covertly modeling the '''human appearance''' into 7-dimensional [[#Bidirectional reflectance distribution function|Bidirectional reflectance distribution function]] model or other type of model.
* Covertly modeling the '''human voice'''
There is work ongoing to model e.g. '''human's style of writing''', but this is probably not as drastic a threat as the covert modeling of appearance and of voice.
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= Deepfake =
[[File:Deepfake example.gif|thumb|right|313px|link=https://en.wikipedia.org/wiki/File:Deepfake_example.gif|A side-by-side comparison of videos. To the left, a scene from the 2013 motion picture ''[[w:Man of Steel (film)]]''. To the right, the same scene modified using [[w:deepfake]] technology.
<br /><br />
Man of Steel produced by DC Entertainment and Legendary Pictures, distributed by Warner Bros. Pictures. Modification done by Reddit user "derpfakes".
<br /><br />
<small>This is a sample from a copyrighted video recording. The person who uploaded this work and first used it in an article, and subsequent people who use it in articles, assert that this qualifies as fair use.</small>]]

{{Q|'''Deepfake''' (a [[w:portmanteau|portmanteau]] of "[[w:deep learning|deep learning]]" and "fake") is a technique for [[w:human image synthesis|human image synthesis]] based on [[w:artificial intelligence|artificial intelligence]]. It is used to combine and [[w:Superimposition|superimpose]] existing images and videos onto source images or videos using a machine learning technique called a "[[w:generative adversarial network|generative adversarial network]]" (GAN).|Wikipedia|[[w:Deepfake|Deepfake]]s}}

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= DARPA =
[[File:DARPA_Logo.jpg|thumb|right|240px|The Defense Advanced Research Projects Agency, better known as [[w:DARPA|DARPA]] has been active in the field of countering synthetic fake video for longer than the public has been aware of [[Synthetic human-like fakes|the problems]] existing.]]
 
The '''Defense Advanced Research Projects Agency''' ('''[[w:DARPA]]''') is an agency of the [[w:United States Department of Defense]] responsible for the development of emerging technologies for use by the military. (Wikipedia)
* [https://www.darpa.mil/program/media-forensics '''DARPA program: 'Media Forensics (MediFor)'''' at darpa.mil] since 2016
* [https://www.darpa.mil/program/semantic-forensics '''DARPA program: 'Semantic Forensics (SemaFor)''' at darpa.mil] since 2019

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= Digital look-alike =
When the [[#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 '''[[digital look-alikes|digital look-alike]]'''. Alternative term is '''''look-like-anyone-machine'''''.

Saying "digital look-alike of X" would imply possession, but "digital look-alike made of X" is more suited, unless the target really is in possession of it.

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= Digital sound-alike =
When it cannot be determined by human testing, is some synthesized recording a simulation of some person's speech, or is it a recording made of that person's actual real voice, it is a pre-recorded '''[[digital sound-alikes|digital sound-alike]]'''. Alternative term is '''''sound-like-anyone-machine'''''.

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= Generative adversial network =

[[File:Woman 7.jpg|alt=An image generated by StyleGAN, a generative adversarial network (GAN), that looks deceptively like a portrait of a young woman.|thumb|250x250px|An image generated by [[w:StyleGAN]], a [[w:generative adversarial network]] (GAN), that looks deceptively like a portrait of a young woman.]]

{{Q|A '''generative adversarial network''' ('''GAN''') is a class of [[w:machine learnin|g]] systems. Two [[w:neural network|neural network]]s contest with each other in a [[w:zero-sum game|zero-sum game]] framework. This technique can generate photographs that look at least superficially authentic to human observers,<ref name="GANs">{{cite arXiv |eprint=1406.2661|title=Generative Adversarial Networks|first1=Ian |last1=Goodfellow |first2=Jean |last2=Pouget-Abadie |first3=Mehdi |last3=Mirza |first4=Bing |last4=Xu |first5=David |last5=Warde-Farley |first6=Sherjil |last6=Ozair |first7=Aaron |last7=Courville |first8=Yoshua |last8=Bengio |class=cs.LG |year=2014 }}</ref> having many realistic characteristics. It is a form of [[w:unsupervised learning|unsupervised learning]]]].<ref name="ITT_GANs">{{cite arXiv |eprint=1606.03498|title=Improved Techniques for Training GANs|last1=Salimans |first1=Tim |last2=Goodfellow |first2=Ian |last3=Zaremba |first3=Wojciech |last4=Cheung |first4=Vicki |last5=Radford |first5=Alec |last6=Chen |first6=Xi |class=cs.LG |year=2016 }}</ref>|Wikipedia|[[w:generative adversarial network|generative adversarial networks]]}}

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= Human image synthesis =

{{Q|'''Human image synthesis''' can be applied to make believable and even [[w:photorealism|photorealistic]] of human-likenesses, moving or still. This has effectively been the situation since the early [[w:2000s (decade)|2000s]]. Many films using [[w:computer generated imagery|computer generated imagery]] have featured synthetic images of human-like characters [[w:digital compositing|digitally composited]] onto the real or other simulated film material.|Wikipedia|[[w:Human image synthesis|Human image syntheses]]}}

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

[[File:Deb2000-light-stage-low-res-rip.png|thumb|left|304px|Original [[w:light stage]] used in the 1999 reflectance capture by [[w:Paul Debevec|Debevec]] et al.<br /><br />

It consists of two rotary axes with height and radius control. Light source and a polarizer were placed on one arm and a camera and the other polarizer on the other arm.
<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:ESPER_LightCage.jpg|thumb|right|300px|The ESPER LightCage - 3D face scanning rig is a modern [[w:light stage|w:light stage]]]]
{{Q|A '''light stage''' or '''light cage''' is equipment used for [[w:3D modeling|shape]], [[w:texture mapping|texture]], reflectance and [[w:motion capture|motion capture]] often with [[w:structured light|structured light]] and a [[w:multi-camera setup|multi-camera setup]].|Wikipedia|[[w:light stage|light stage]]s}}

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= MATINE =

'''MATINE''' ([[w:fi:MATINE]]) is the [https://www.defmin.fi/en/frontpage/overview/ministry_of_defence/departments_and_units/defence_policy_department/scientific_advisory_board_for_defence_%28matine%29#d779859d '''Scientific Advisory Board for Defence'''] of the [[w:Ministry of Defence (Finland)|w:Ministry of Defence of Finland]]. MATINE is an abbreviation of '''''MA'''anpuolustuksen '''TI'''eteellinen '''NE'''uvottelukunta'' and it arranges an annual public research seminar. In 2019 a research group funded by MATINE presented their work [https://www.defmin.fi/files/4755/1315MATINE_seminaari_21.11.pdf 'Synteettisen median tunnistus' at defmin.fi] (Recognizing synthetic media).
= Media forensics =
'''Media forensics''' deal with ascertaining genuinity of media.

{{Q|Wikipedia does not have an article on [[w:Media forensics]]|juboxi|2019-04-05}}

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= Niqāb = 
[[File:Muslim woman in Yemen.jpg|thumb|left|200px|Image of a human wearing a '''[[w:niqāb]]''']]

{{Q|A '''niqab''' or '''niqāb''' ("[face] veil"; also called a '''ruband''') is a garment of clothing that covers the face, worn by some [[w:muslim women|muslim women]] as a part of a particular interpretation of [[w:hijab|hijab]] (modest dress).|Wikipedia|[[w:Niqāb|Niqābs]]}}
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= No camera =
'''No camera''' ('''!''') refers to the fact that a simulation of a camera is not a camera. If people realize the differences, and thus the different restrictions by many types of laws e.g. physics, physiology. Analogously see [[#No microphone]], usually seen below this entry.

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= No microphone =
'''No microphone''' is needed when using synthetic voices as you just model them, without needing to capture. Analogously see the entry [[#No camera]], usually seen above this entry.

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= Reflectance capture =
'''Reflectance capture''' is made by measuring the reflected light for each incoming light direction and every exit direction, often with many different wavelengths. Using polarisers allow to separately capture the specular and the diffuse reflected light. The first known reflectance capture over the human face was made in 1999 by Paul Debevec et al at the [[w:University of Southern California]].

As of 2020-11-19 Wikipedia does not have an article on '''reflectance capture'''.

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= Relighting =
[[File:Deb2000-relighting-low-res-cropped.png|thumb|right|420px|Each image images a face in synthesized lighting. The lower images represent the captured illumination map. The images are generated taking a dot product of each pixel’s reflectance function with the illumination map.<br /><br />

<small>Original image Copyright ACM 2000 – http://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>]]

'''Relighting''' means applying a completely different [[w:lighting]] situation to an image or video which has already been imaged. As of 2020-09 the English Wikipedia does not have an article on relighting.

As of 2020-11-19 Wikipedia does not have an article on '''relighting'''.

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= Spectrogram =
[[File:Spectrogram-19thC.png|thumb|right|360px|A [[w:spectrogram|spectrogram]] of a male voice saying 'nineteenth century']]

'''[[w:Spectrogram]]s''' are used extensively in the fields of [[w:music]], [[w:linguistics]], [[w:sonar]], [[w:radar]], [[w:speech processing]], [[w:seismology]], and others. Spectrograms of audio can be used to identify spoken words [[w:phonetics|phonetic]]ally, and to analyse the [[w:Animal communication|various calls of animals]]. (Wikipedia)

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= Speech synthesis =
{{Q|'''Speech synthesis''' is the artificial production of human [[w:speech|speech]]|Wikipedia|[[w:Speech synthesis|speech syntheses]]}}

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= Synthetic porn =
'''Synthetic pornography''' is a '''strong technological hallucinogen'''.

== Synthetic terror porn ==
'''Synthetic terror porn''' is pornography synthesized with terrorist intent. '''Synthetic rape porn''' is probably by far the most prevalent form of this, but it must be noted that synthesizing '''concentual looking sex scenes''' can also be '''terroristic''' in intent and effect.
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= Transfer learning =
{{Q|'''Transfer learning (TL)''' is a research problem in [[w:machine learning|machine learning]] (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem.|Wikipedia|[[w:Transfer learning|Transfer learning]]}}

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= Voice changer =
{{Q|The term '''voice changer''' (also known as voice enhancer) refers to a device which can change the tone or pitch of or add distortion to the user's voice, or a combination and vary greatly in price and sophistication.|Wikipedia|[[w:Voice changer|voice changers]]}}

Please see '''[[Resources#List of voice changers]]''' for some alternatives.

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= References =
<references />