Authenticator-integrated generative adversarial network (GAN) for secure deepfake generation
US12248556B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 23, 2021 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Nov 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2129
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.