Paper
21 March 2023 An efficient method against adversarial attacks
Hongyi Wei, Jing Dong
Author Affiliations +
Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126091O (2023) https://doi.org/10.1117/12.2672191
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE
Abstract
Previous studies to defense against adversarial examples mostly focused on refining the DNN models but have either shown limited success or required expensive computation. In this paper, we introduce a new detection method against adversarial attacks. Since L0 attackers have similar search patterns, to separate clean examples from adversarial examples, we found a new distance measure on output layer. These strategies have low time and computing costs and can be easily complementary to other defenses. Moreover, our method performs well on adversarial noise localization task.
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Hongyi Wei and Jing Dong "An efficient method against adversarial attacks", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126091O (21 March 2023); https://doi.org/10.1117/12.2672191
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KEYWORDS
Defense and security

Data modeling

Distortion

Neural networks

Artificial intelligence

Fourier transforms

Artificial neural networks

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