Glossary: Difference between revisions

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This is the '''SSFWIKI glossary''' with limited dictionary function. See '''[[resources]]''' for examples you will often find linked for your convenience.
This is the '''SSFWIKI glossary''' with limited dictionary function. See '''[[resources]]''' for examples you will often find linked for your convenience.
'''Glossaries elsewhere'''
* <section begin=US-Congress-glossary />[https://www.congress.gov/help/legislative-glossary '''Glossary of Legislative Terms''' at congress.gov]<section end=US-Congress-glossary />


= ACM =
= ACM =
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= Appearance and voice theft =
= 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)]].
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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= Audio forensics =
{{Q|'''[[w:Audio forensics]]''' is the field of [[w:forensic science]] relating to the acquisition, analysis, and evaluation of [[w:sound recording]]s that may ultimately be presented as admissible evidence in a court of law or some other official venue.<ref>{{cite web|url=http://www.soundonsound.com/sos/jan10/articles/forensics.htm|title=An Introduction To Forensic Audio|author=Phil Manchester|date=January 2010|publisher=Sound on Sound}}</ref><ref name=maherieee2009>{{cite journal|last=Maher|first=Robert C.|title=Audio forensic examination: authenticity, enhancement, and interpretation|journal=IEEE Signal Processing Magazine|volume=26|issue=2|pages=84–94|date=March 2009|doi=10.1109/msp.2008.931080|s2cid=18216777}}</ref><ref name=gelfandwired2007>{{cite web|url=https://www.wired.com/science/discoveries/news/2007/10/audio_forensics |title=Audio Forensics Experts Reveal (Some) Secrets |date=10 October 2007 |author=Alexander Gelfand |publisher=Wired Magazine |url-status=dead |archiveurl=https://web.archive.org/web/20120408153708/http://www.wired.com/science/discoveries/news/2007/10/audio_forensics |archivedate=2012-04-08 }}</ref><ref name=":0">{{Cite book |last=Maher |first=Robert C. |title=Principles of forensic audio analysis |publisher=Springer |year=2018 |isbn=9783319994536 |location=Cham, Switzerland |pages= |oclc=1062360764}}</ref>|Wikipedia|[[w:Audio forensics]]<ref group="permalink">https://en.wikipedia.org/w/index.php?title=Audio_forensics&oldid=1096442057 loaned on Friday 2022-10-21</ref>}}


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= Generative adversial network =
= 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.]]
[[File:Woman 1.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]]}}
{{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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'''Media forensics''' deal with ascertaining genuinity of media.
'''Media forensics''' deal with ascertaining genuinity of media.


{{Q|Wikipedia does not have an article on [[w:Media forensics]]|juboxi|2019-04-05}}
{{Q|Wikipedia does not have an article on media forensics, but it does have one on [[w:audio forensics]]|juboxi|2022-10-21}}


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= Sexual bullying =
= Sexual bullying =
* '''[[w:Sexual bullying]]''' is a type of [[w:bullying]] and [[w:sexual harassment]] that occurs in connection with a person's [[w:sex]], body,  [[w:sexual orientation]] or with [[w:sexual activity]]. It can be [[w:physical abuse|w:physical]], [[w:verbal abuse|w:verbal]], and/or [[w:emotional abuse]]. ([https://en.wikipedia.org/w/index.php?title=Sexual_bullying&oldid=1063305355 Wikipedia])
* '''[[w:Sexual bullying]]''' is a type of [[w:bullying]] and [[w:sexual harassment]] that occurs in connection with a person's [[w:sex]], body,  [[w:sexual orientation]] or with [[w:sexual activity]]. It can be [[w:physical abuse|w:physical]], [[w:verbal abuse|w:verbal]], and/or [[w:emotional abuse]]. ([https://en.wikipedia.org/w/index.php?title=Sexual_bullying&oldid=1063305355 Wikipedia])
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= SISE =
'''SISE''' refers to the [[#Stopping Internet Sexual Exploitation Act]] - a House of Commons of Canada bill introduced in 2022.
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= SISEA =
* [[#Stop Internet Sexual Exploitation Act]] - a US Senate bill in the 2019-2020 session


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See '''[[wikidata:]]''' for translations, descriptions and links to WMF wikis about speech syntheses.
See '''[[wikidata:]]''' for translations, descriptions and links to WMF wikis about speech syntheses.


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= Stop Internet Sexual Exploitation Act =
The Stop Internet Sexual Exploitation Act (SISE) was a bill introduced to the 2019-2020 session of the US Senate.
* [https://www.congress.gov/bill/116th-congress/senate-bill/5054?r=1&s=1 US Senate Bill ''''''S.5054''' - '''Stop Internet Sexual Exploitation Act''''' at congress.gov]
= Stopping Internet Sexual Exploitation Act =
* [https://www.parl.ca/DocumentViewer/en/44-1/bill/C-270/first-reading House of Commons of Canada bill C-270 ''''''Stopping Internet Sexual Exploitation Act'''''' at parl.ca], first read to the Commons on Thursday 2022-04-28. According to [https://www.townandcountrytoday.com/local-news/mp-submits-private-members-bill-for-second-time-5346232 townandcountrytoday.com] the author of the bill introduced an identical bill C-302 on Thursday 2021-05-27, but that got killed off by oncoming federal elections
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= Permalinks =
<references group="permalink"/>


= References =
= References =
<references />
<references />
[[Category:Listing]]
[[Category:In English]]
[[Category:In Finnish]]
[[Category:Suomeksi]]
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