Authenticator-integrated generative adversarial network (GAN) for secure deepfake generation
An apparatus to facilitate an authenticator-integrated generative adversarial network (GAN) for secure deepfake generation is disclosed. The apparatus includes one or more processors to: generate, by a generative neural
Patent Number
US 12248556
Status
Active
Filing Date
June 23, 2021
Grant Date
March 11, 2025
Expiration
June 23, 2041
Claims
23
Assignee
Intel
Inventors
Ilke Demir, Carl S. Marshall, Satyam Srivastava, Steven Gans
Citations
0 forward · 6 backward
What it covers
An apparatus to facilitate an authenticator-integrated generative adversarial network (GAN) for secure deepfake generation is disclosed. The apparatus includes one or more processors to: generate, by a generative neural network, samples based on feedback received from a discriminator neural network and from an authenticator neural network, the generative neural network aiming to trick the discriminator neural network to identify the generated samples as real content samples; digest, by the authenticator neural network, the real content samples, the generated samples from the generative neural network, and an authentication code; embed, by the authenticator neural network, the authentication code into the generated samples from the generative neural network by contributing to a generator loss provided to the generative neural network; generate, by the generative neural network, content comprising the embedded authentication code; and verify, by the authenticator neural network, the content based on the embedded authentication code.
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US 12248556 · 2026