Learning the Manifold of Authenticity: Hybrid-Curvature Representation Learning for Generalizable Deepfake Detection

The practical utility of deepfake detectors is crippled by a crisis of generalization: models that perform well on known manipulation techniques consistently fail when faced with unseen forgeries. We argue this failure stems from a fundamental geometric mismatch. Existing methods implicitly assume t...

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Hlavní autoři:	Nicolas Larue, Vitomir Struc, Peter Peer, Ngoc-Son Vu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Contrastive learning generalized deepfake detection hyperbolic one-class anomaly detection
On-line přístup:	https://ieeexplore.ieee.org/document/11557307/
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