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.CV2023

FAT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns

Yaguan Qian, Chenyu Zhao, Zhaoquan Gu +5

Deep neural networks (DNNs) are vulnerable to adversarial examples crafted by well-designed perturbations. This could lead to disastrous results on critical applications such as se…