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

T1 theorem for homogeneous Triebel-Lizorkin spaces

首都大学東