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

David Fischinger, Martin Boyer

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 re-
leased 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.