Glossary: Difference between revisions

= 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)

----

= Adequate Porn Watcher AI =

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

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

* 2 for the entry angle

* 2 for the exit angle of the light.

----

= 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}}

----

= Covert modeling =

'''Covert modeling''' refers to both covertly modeling aspects of a subject i.e. without express consent.

* 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.

----

{{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}}

----

* [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

----

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.

* English | en | English | Digital look-alikes

= 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'''''.

* English | en | English | Digital sound-alikes

{{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]]}}

----

= 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]]}}

----

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]]''']]

----

[[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}}

----

'''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|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]]}}

----

'''[[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)

----

= Speech synthesis =

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

----

= 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]]}}

----

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

----