most citedA Novel Noise Injection-based Training Scheme for Better Model Robustness

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cs.LG2023★ 3 cited

A Novel Noise Injection-based Training Scheme for Better Model Robustness

Zeliang Zhang, Jinyang Jiang, Minjie Chen +3

Noise injection-based method has been shown to be able to improve the robustness of artificial neural networks in previous work. In this work, we propose a novel noise injection-ba…

cs.LG2023★ 3 cited

Improving Adversarial Transferability with Scheduled Step Size and Dual Example

Zeliang Zhang, Peihan Liu, Xiaosen Wang +1

Deep neural networks are widely known to be vulnerable to adversarial examples, especially showing significantly poor performance on adversarial examples generated under the white-…