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Forget azimuthal averaging: SRL-MAD learns frequency-aware spectral projections to spot face morphing attacks better than supervised methods, even without attack data.
Forget what you know: explicitly unlearning non-identity-related facial attributes significantly boosts face recognition accuracy, suggesting current models rely on spurious correlations.
