DF-Net: The Digital Forensics Network for Image Forgery Detection

Abstract

The orchestrated manipulation of public opinion, particularly through manipulated images, often spread via online social networks (OSN), has become a serious threat to society. In this paper we introduce the Digital Forensics Net (DF-Net), a deep neural network for pixel-wise image forgery detection. The released model outperforms several state-of-the-art methods on four established benchmark datasets. Most notably, DF-Net's detection is robust against lossy image operations (e.g resizing, compression) as they are automatically performed by social networks.

Published in 2023 at the 25th Irish Machine Vision and Image Processing Conference (IMVIP), https://iprcs.github.io/pdf/IMVIP2023_Proceeding.pdf