most citedA Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CR2024★ 1 cited

A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild

Xiang Ling, Zhiyu Wu, Bin Wang +5

Given the remarkable achievements of existing learning-based malware detection in both academia and industry, this paper presents MalGuise, a practical black-box adversarial attack…

cs.CV2022

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training

Xiaoyu Liang, Yaguan Qian, Jianchang Huang +4

Adversarial training, as one of the most effective defense methods against adversarial attacks, tends to learn an inclusive decision boundary to increase the robustness of deep lea…