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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Principais autores:	Nicolas Larue, Vitomir Struc, Peter Peer, Ngoc-Son Vu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2026-01-01
סדרה:	IEEE Access
נושאים:	Contrastive learning generalized deepfake detection hyperbolic one-class anomaly detection
גישה מקוונת:	https://ieeexplore.ieee.org/document/11557307/
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