NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
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Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
ICML, 2019.

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@inproceedings{ICML-2019-LiLWZG,
	author        = "Yandong Li and Lijun Li and Liqiang Wang and Tong Zhang and Boqing Gong",
	booktitle     = "{Proceedings of the 36th International Conference on Machine Learning}",
	ee            = "http://proceedings.mlr.press/v97/li19g.html",
	pages         = "3866--3876",
	publisher     = "{PMLR}",
	title         = "{NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks}",
	year          = 2019,
}

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