737 research outputs found
テント空間の理論に基づくモレー空間の双対性、複素補間に関する研究
中央⼤学博士(理学)【学位授与の要件】中央大学学位規則第4条第1項
【論文審査委員主査】澤野 嘉宏(中央大学理工学部教授)
【論文審査委員副査】津川 光太郎(中央大学理工学部教授)、松山 登喜夫(中央大学理工学部教授)、香取 眞理(中央大学理工学部教授)、中井 英一(茨城大学理工学研究科教授)doctoral thesi
Adversarial Example Generation using Evolutionary Multi-objective Optimization
This paper proposes Evolutionary Multi-objective Optimization (EMO)-based
Adversarial Example (AE) design method that performs under black-box setting.
Previous gradient-based methods produce AEs by changing all pixels of a target
image, while previous EC-based method changes small number of pixels to produce
AEs. Thanks to EMO's property of population based-search, the proposed method
produces various types of AEs involving ones locating between AEs generated by
the previous two approaches, which helps to know the characteristics of a
target model or to know unknown attack patterns. Experimental results showed
the potential of the proposed method, e.g., it can generate robust AEs and,
with the aid of DCT-based perturbation pattern generation, AEs for high
resolution images
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