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Dominik Alveen

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A Hybrid CLIP-Diffusion Architecture for Transparent Deepfake Detection and Explainability Evaluation

This paper studies how to build deep-fake detectors that both generalize to unseen image generators and provide transparent explanations of their decisions, and proposes a hybrid CLIP-Diffusion architecture that combines a frozen CLIP back-bone with a classifier operating on intermediate features and a diffusion-based reconstruction error head.

Andreas Specker, M. Veerappa, T. Golda et al. · 0 citations