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cs.CR2022
Boundary Defense Against Black-box Adversarial Attacks
Manjushree B. Aithal, Xiaohua Li
Black-box adversarial attacks generate adversarial samples via iterative optimizations using repeated queries. Defending deep neural networks against such attacks has been challeng…
cs.CR2021
Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation
Manjushree B. Aithal, Xiaohua Li
In black-box adversarial attacks, adversaries query the deep neural network (DNN), use the output to reconstruct gradients, and then optimize the adversarial inputs iteratively. In…