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LAFEAT - Piercing Through Adversarial Defenses With Latent Features.

CVPR, pp.5735-5745, (2021)

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Abstract

Deep convolutional neural networks are susceptible to adversarial attacks. They can be easily deceived to give an incorrect output by adding a tiny perturbation to the input. This presents a great challenge in making CNNs robust against such attacks. An influx of new defense techniques have been proposed to this end. In this paper, we s...More

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Author
Yunrui Yu
Yunrui Yu
Xitong Gao
Xitong Gao
Cheng-Zhong Xu
Cheng-Zhong Xu
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