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Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms

Since their emergence a few years ago, artificial intelligence (AI)-synthesized media—so-called deep fakes—have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornography, large-scale fraud, and disinformation campa...

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Detalles Bibliográficos
Autores principales: Boháček, Matyáš, Farid, Hany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860138/
https://www.ncbi.nlm.nih.gov/pubmed/36417442
http://dx.doi.org/10.1073/pnas.2216035119
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author Boháček, Matyáš
Farid, Hany
author_facet Boháček, Matyáš
Farid, Hany
author_sort Boháček, Matyáš
collection PubMed
description Since their emergence a few years ago, artificial intelligence (AI)-synthesized media—so-called deep fakes—have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornography, large-scale fraud, and disinformation campaigns. Of particular concern is how deep fakes will be weaponized against world leaders during election cycles or times of armed conflict. We describe an identity-based approach for protecting world leaders from deep-fake imposters. Trained on several hours of authentic video, this approach captures distinct facial, gestural, and vocal mannerisms that we show can distinguish a world leader from an impersonator or deep-fake imposter.
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spelling pubmed-98601382023-02-01 Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms Boháček, Matyáš Farid, Hany Proc Natl Acad Sci U S A Physical Sciences Since their emergence a few years ago, artificial intelligence (AI)-synthesized media—so-called deep fakes—have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornography, large-scale fraud, and disinformation campaigns. Of particular concern is how deep fakes will be weaponized against world leaders during election cycles or times of armed conflict. We describe an identity-based approach for protecting world leaders from deep-fake imposters. Trained on several hours of authentic video, this approach captures distinct facial, gestural, and vocal mannerisms that we show can distinguish a world leader from an impersonator or deep-fake imposter. National Academy of Sciences 2022-11-23 2022-11-29 /pmc/articles/PMC9860138/ /pubmed/36417442 http://dx.doi.org/10.1073/pnas.2216035119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Physical Sciences
Boháček, Matyáš
Farid, Hany
Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
title Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
title_full Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
title_fullStr Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
title_full_unstemmed Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
title_short Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
title_sort protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860138/
https://www.ncbi.nlm.nih.gov/pubmed/36417442
http://dx.doi.org/10.1073/pnas.2216035119
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