Publication

Oct 1, 2024

Patent: Identification of Neural-Network-Generated Fake Images

Summary

A computer that identifies a fake image is described. During operation, the computer receives an image. Then, the computer performs analysis on the image to determine a signature that includes multiple features. Based at least in part in the determined signature, the computer classifies the image as having a first signature associated with the fake image or as having a second signature associated with a real image, where the first signature corresponds to a finite resolution of a neural network that generated the fake image, a finite number of parameters in the neural network that generated the fake image, or both. For example, the finite resolution may correspond to floating point operations in the neural network. Moreover, in response to the classification, the computer may perform a remedial action, such as providing a warning or a recommendation, or performing filtering.

Published on

Read title

Other Research

Towards Attention-based Contrastive Learning for Audio Spoof Detection

Publication
Oct 1, 2024

Published on

Published on

Chirag Goel, Surya Koppisetti, Ben Colman, Ali Shahriyari, Gaurav Bharaj

Generalized Spoofing Detection Inspired from Audio Generation Artifacts

Publication
Oct 1, 2024

Published on

Published on

Yang Gao, Tyler Vuong, Mahsa Elyasi, Gaurav Bharaj, Rita Singh

Subscribe to the Reality Defender Newsletter
Raised hand against a soft cloudy sky