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DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images
April 25, 2024, 7:45 p.m. | Orazio Pontorno (University of Catania), Luca Guarnera (University of Catania), Sebastiano Battiato (University of Catania)
cs.CV updates on arXiv.org arxiv.org
Abstract: Deepfakes, synthetic images generated by deep learning algorithms, represent one of the biggest challenges in the field of Digital Forensics. The scientific community is working to develop approaches that can discriminate the origin of digital images (real or AI-generated). However, these methodologies face the challenge of generalization, that is, the ability to discern the nature of an image even if it is generated by an architecture not seen during training. This usually leads to a …
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