公开(公告)号：US12248556B2

公开(公告)日：2025-03-11

申请号：US17356116

申请日：2021-06-23

Applicant: Intel Corporation

Inventor： Ilke Demir ,  Carl S. Marshall ,  Satyam Srivastava ,  Steven Gans

IPC: G06F21/00 ,  G06F21/44 ,  G06N3/08

Abstract: 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.

公开(公告)号：US20210319240A1

公开(公告)日：2021-10-14

申请号：US17356067

申请日：2021-06-23

Applicant: Intel Corporation

Inventor： Ilke Demir ,  Carl S. Marshall ,  Satyam Srivastava ,  Steven Gans

IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04

Abstract: An apparatus to facilitate generator exploitation for deepfake detection is disclosed. The apparatus includes one or more processors to: alter a generative neural network of a deepfake generator with one or more modifications for deepfake detection; train the generative neural network having the one or more modifications and a discriminative neural network of the deepfake generator, wherein training the generative neural network and the discriminative neural network to facilitate the generative neural network to generate deepfake content comprising the one or more modifications; and communicate identification of the one or more modifications to a deepfake detector to cause the deepfake detector to identify deepfake content generated by the deepfake generator that comprises at least one of the one or more modifications.

公开(公告)号：US20210319090A1

公开(公告)日：2021-10-14

申请号：US17356116

申请日：2021-06-23

Applicant: Intel Corporation

Inventor： Ilke Demir ,  Carl S. Marshall ,  Satyam Srivastava ,  Steven Gans

IPC: G06F21/44 ,  G06N3/08

Abstract: 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.

公开(公告)号：US12125256B2

公开(公告)日：2024-10-22

申请号：US17356067

申请日：2021-06-23

Applicant: Intel Corporation

Inventor： Ilke Demir ,  Carl S. Marshall ,  Satyam Srivastava ,  Steven Gans

IPC: G06N3/08 ,  G06N3/045 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V40/40

CPC classification number: G06V10/454 ,  G06N3/045 ,  G06N3/08 ,  G06V10/764 ,  G06V10/82 ,  G06V40/40

Abstract: An apparatus to facilitate generator exploitation for deepfake detection is disclosed. The apparatus includes one or more processors to: alter a generative neural network of a deepfake generator with one or more modifications for deepfake detection; train the generative neural network having the one or more modifications and a discriminative neural network of the deepfake generator, wherein training the generative neural network and the discriminative neural network to facilitate the generative neural network to generate deepfake content comprising the one or more modifications; and communicate identification of the one or more modifications to a deepfake detector to cause the deepfake detector to identify deepfake content generated by the deepfake generator that comprises at least one of the one or more modifications.