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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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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. |
format | Online Article Text |
id | pubmed-9860138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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