60 citations · 151 across the 5 of their papers we have counts for
Showing 2020 · cs.CRShow all
2 papers · 2 filters
cs.CR2020★ 41 cited
Arms Race in Adversarial Malware Detection: A Survey
Deqiang Li, Qianmu Li, Yanfang Ye +1
Malicious software (malware) is a major cyber threat that has to be tackled with Machine Learning (ML) techniques because millions of new malware examples are injected into cybersp…
cs.CR2020★ 60 cited
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware
Deqiang Li, Qianmu Li, Yanfang Ye +1
Machine learning-based malware detection is known to be vulnerable to adversarial evasion attacks. The state-of-the-art is that there are no effective defenses against these attack…