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Auflistung nach Autor:in "Miyagawa, Taiki"

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  • Konferenzbeitrag
    Toward Practical Adversarial Attacks on Face Verification Systems
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Kakizaki, Kazuya; Miyagawa, Taiki; Singh, Inderjeet; Sakuma, Jun
    DNN-based face verification systems are vulnerable to adversarial examples. The previous paper's evaluation protocol (scenario), which we called the probe-dependent attack scenario, was unrealistic. We define a more practical attack scenario, the probe-agnostic attack. We empirically show that these attacks are more challenging than probe-dependent ones. We propose a simple and effective method, PAMTAM, to improve the attack success rate for probe-agnostic attacks. We show that PAMTAM successfully improves the attack success rate in a wide variety of experimental settings.