Preprint
Sep 2026
Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation
The results show that clean-set performance is not a reliable indicator of robustness under compression, resizing, and blurring, and reinforce the need for degraded evaluation protocols and highlight self-supervised visual representations as a promising direction for robust face forgery detection.
L. Cunha, Lucas Sotomaior, Lucas Gasperin et al.
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