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

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.

@article{fischinger2025_2503.22398,
  title={ DF-Net: The Digital Forensics Network for Image Forgery Detection },
  author={ David Fischinger and Martin Boyer },
  journal={arXiv preprint arXiv:2503.22398},
  year={ 2025 }
}