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Protecting President Zelenskyy against deep fakes: Difference between revisions
Protecting President Zelenskyy against deep fakes (edit)
Revision as of 00:15, 5 January 2023
, 1 year ago+ as a ref {{cite arXiv}}
Juho Kunsola (talk | contribs) (+ == See also == Further work by Boháček and Farid Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms) |
Juho Kunsola (talk | contribs) (+ as a ref {{cite arXiv}}) |
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<section begin=what-is-it />[https://arxiv.org/abs/2206.12043 ''''''Protecting President Zelenskyy against Deep Fakes'''''' at arxiv.org] by Matyáš Boháček of Johannes Kepler Gymnasium and [[w:Hany Farid]], the dean and head of of [[w:University of California, Berkeley School of Information|w:Berkeley School of Information at the University of California, Berkeley]]. This brief paper describes their automated digital look-alike detection system and evaluate its efficacy and reliability in comparison to humans with untrained eyes. Their work provides automated evaluation tools to catch so called "deep fakes" and their motivation seems to have been to find automation armor against disinformation warfare against humans and the humanity. Automated digital [[Glossary#Media forensics|media forensics]] is a very good idea explored by many. Boháček and Farid 2022 detection system works by evaluating both facial mannerisms as well as gestural mannerisms to detect the non-human ones from the ones that are human in origin.<section end=what-is-it /> | <section begin=what-is-it />[https://arxiv.org/abs/2206.12043 ''''''Protecting President Zelenskyy against Deep Fakes'''''' at arxiv.org]<ref> | ||
{{cite arXiv | |||
| last = Boháček | |||
| first = Matyáš | |||
| last2 = Farid | |||
| first2 = Hany | |||
| author-link2 = w:Hany Farid | |||
| eprint = 2206.12043 | |||
| title = Protecting President Zelenskyy against Deep Fakes | |||
| class = cs.CV | |||
| date = 2022-06-14 | |||
}} | |||
</ref> by Matyáš Boháček of Johannes Kepler Gymnasium and [[w:Hany Farid]], the dean and head of of [[w:University of California, Berkeley School of Information|w:Berkeley School of Information at the University of California, Berkeley]]. This brief paper describes their automated digital look-alike detection system and evaluate its efficacy and reliability in comparison to humans with untrained eyes. Their work provides automated evaluation tools to catch so called "deep fakes" and their motivation seems to have been to find automation armor against disinformation warfare against humans and the humanity. Automated digital [[Glossary#Media forensics|media forensics]] is a very good idea explored by many. Boháček and Farid 2022 detection system works by evaluating both facial mannerisms as well as gestural mannerisms to detect the non-human ones from the ones that are human in origin.<section end=what-is-it /> | |||
[https://arxiv.org/pdf/2206.12043.pdf '''''Protecting President Zelenskyy against deep fakes''''' a 2022 .pdf at arxiv.org] submitted for publication on Friday 2022-06-24 by Hany Farid. | [https://arxiv.org/pdf/2206.12043.pdf '''''Protecting President Zelenskyy against deep fakes''''' a 2022 .pdf at arxiv.org] submitted for publication on Friday 2022-06-24 by Hany Farid. | ||
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== See also == | == See also == | ||
Further work by Boháček and Farid ''''''[[Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms]]'''''' | Further work by Boháček and Farid ''''''[[Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms]]'''''' | ||
== References == | |||
<references /> | |||
[[Category:Science]] | [[Category:Science]] | ||
[[Category:Antifake]] | [[Category:Antifake]] | ||
[[Category:2022]] | [[Category:2022]] | ||