2019
Low Frequency Adversarial Perturbation
UAI 2019poster
Adversarial images aim to change a target model’s decision by minimally perturbing a target image. In the black-box setting, the absence of gradient information often renders this search problem costly in terms of query complexity. In this paper we propose to restrict the search for adversarial imag…