Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection

no code implementations • 14 Nov 2022 • M. Ibsen, C. Rathgeb, F. Brechtel, R. Klepp, K. Pöppelmann, A. George, S. Marcel, C. Busch

In an extensive evaluation, we show that this type of attack can compromise the security of face recognition systems and that some state-of-the-art attack detection mechanisms trained on popular benchmarks fail to robustly generalize to the new attacks.

Anomaly Detection Face Recognition