Author

S. Cho

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Preprint Aug 2026

SRAP: SVD-Refined Adversarial Perturbations for Imperceptible Face-Swap Defense

This work proposes SRAP, which combines per-channel truncated SVD refinement with an identity-importance mask at every optimization step, and demonstrates that SRAP substantially improves protected-image fidelity across all reported metrics while maintaining competitive identity-disruption performance.

S. Cho, Kwanghyun Ko, Myungjoo Kang · 0 citations