POBA-GA: Perturbation optimized black-box adversarial attacks via genetic algorithm

标题
POBA-GA: Perturbation optimized black-box adversarial attacks via genetic algorithm
作者
关键词
Deep learning, Adversarial attack, Perturbation optimization, Genetic algorithm, Defense
出版物
COMPUTERS & SECURITY
Volume 85, Issue -, Pages 89-106
出版商
Elsevier BV
发表日期
2019-04-30
DOI
10.1016/j.cose.2019.04.014

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