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arXiv · 2503.22398

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

David Fischinger·Martin Boyer
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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.

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David Fischinger, Martin Boyer. 2025-03-28. DF-Net: The Digital Forensics Network for Image Forgery Detection. https://doi.org/10.5281/zenodo.8214996%2010.5281%2Fzenodo.8142658

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