Protecting World Leaders Against Deep Fakes
Protecting World Leaders Against Deep Fakes
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发表时间：
2019
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通讯作者：
S. Agarwal;H. Farid;Yuming Gu;Mingming He;Koki Nagano;Hao Li
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作者：
S. Agarwal;H. Farid;Yuming Gu;Mingming He;Koki Nagano;Hao Li
制作复杂的假视频在很大程度上是由好莱坞制片厂或国家演员制作的。然而，深度学习的最新进展使得sig-nifi制作复杂而引人注目的虚假视频变得更加容易。例如，凭借相对适中的数据量和计算能力，普通人可以创建一段视频，视频中有一位世界领导人承认自己的非法活动导致了宪法危机，一位军事领导人说了一些对种族不敏感的话，导致了军事活动地区的内乱，或者一家企业巨头声称他们的亲信fi很弱，导致了全球股票操纵。这些所谓的深度造假对我们的民主、国家安全和社会构成了严重的威胁。为了应对这种日益增长的威胁，我们描述了一种法医技术，它模拟了一个人说话模式的典型面部表情和动作。尽管在视觉上并不明显，但这些相关性经常被深度虚假视频的创建方式所破坏，因此可以用于身份验证。
The creation of sophisticated fake videos has been largely relegated to Hollywood studios or state actors. Recent advances in deep learning, however, have made it sig-nificantly easier to create sophisticated and compelling fake videos. With relatively modest amounts of data and computing power, the average person can, for example, create a video of a world leader confessing to illegal activity leading to a constitutional crisis, a military leader saying something racially insensitive leading to civil unrest in an area of military activity, or a corporate titan claiming that their profits are weak leading to global stock manipulation. These so called deep fakes pose a significant threat to our democracy, national security, and society. To contend with this growing threat, we describe a forensic technique that models facial expressions and movements that typify an individual’s speaking pattern. Although not visually apparent, these correlations are often violated by the nature of how deep-fake videos are created and can, therefore, be used for authentication.