Towards evaluating the robustness of deep diagnostic models by adversarial attack.

Xu, Mengting; Zhang, Tao; Li, Zhongnian; Liu, Mingxia; Zhang, Daoqiang

Xu, Mengting; Zhang, Tao; Li, Zhongnian; Liu, Mingxia; Zhang, Daoqiang.

Afiliación

Xu M; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China. Electronic address: xumengting@nuaa.edu.cn.
Zhang T; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China. Electronic address: lrhselous@nuaa.edu.cn.
Li Z; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China. Electronic address: zhongnianli@163.com.
Liu M; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina 27599, USA. Electronic address: mxliu1226@gmail.com.
Zhang D; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China. Electronic address: dqzhang@nuaa.edu.cn.

Med Image Anal ; 69: 101977, 2021 04.

Article en En | MEDLINE | ID: mdl-33550005

Asunto(s)

Redes Neurales de la Computación; Humanos

Palabras clave

Adversarial attack; Deep diagnostic models; Defense; Robustness

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos

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