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Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?


Sep 20, 2021
Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu

* 13 pages (included references), 9 figures 

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Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection


Jun 30, 2020
Deqiang Li, Qianmu Li

* D. Li and Q. Li, "Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection," in IEEE Transactions on Information Forensics and Security (early access) 

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SoK: Arms Race in Adversarial Malware Detection


Jun 15, 2020
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu

* 19 pages, 6 figures 

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Enhancing Deep Neural Networks Against Adversarial Malware Examples


Apr 15, 2020
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu

* 16 pages, 5 figures. arXiv admin note: substantial text overlap with arXiv:1812.08108 

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HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples


Sep 18, 2018
Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu

* 13 pages (included references), 5 figures 

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