Art

J-GLOBAL ID：202002246715013515   Reference number：20A0407281

GENERATION OF ADVERSARIAL EXAMPLES USING ADAPTIVE DIFFERENTIAL EVOLUTION

適応微分進化を用いた敵対的事例の生成

Author (3)： KUSHIDA Jun-ichi (Hiroshima City Univ., Hiroshima-shi, JPN) ,  HARA Akira (Hiroshima City Univ., Hiroshima-shi, JPN) ,  TAKAHAMA Tetsuyuki (Hiroshima City Univ., Hiroshima-shi, JPN)
Material： International Journal of Innovative Computing, Information and Control  (IJICIC)
Volume： 16  Issue： 1  Page： 405-414  Publication year： Feb. 2020 
JST Material Number： F1199A  ISSN： 1349-4198  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *evolutionary computation ,  *optimization method ,  *neural network (biomodel) ,  neural network (network) ,  perturbation ,  black box ,  model ,  *deep neural network ,  internal model ,  *differential evolution

JST classification (2)： Computer networks  (JC03000K) ,  Computer simulation  (JE11000H)

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Terms in the title (3)： 適応 ,  微分進化 ,  敵対