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Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms.
Bohácek, Matyás; Farid, Hany.
Afiliação
  • Bohácek M; Gymnasium of Johannes Kepler 169 00 Prague, Czech Republic.
  • Farid H; Department of Electrical and Computer Sciences, School of Information, University of California, Berkeley, CA 94708.
Proc Natl Acad Sci U S A ; 119(48): e2216035119, 2022 11 29.
Article em En | MEDLINE | ID: mdl-36417442
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Enganação Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Enganação Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article