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RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation


Feb 12, 2022
Zhen Li, Guenevere, Chen, Chen Chen, Yayi Zou, Shouhuai Xu

* ICSE 2022 

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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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Towards Making Deep Learning-based Vulnerability Detectors Robust


Aug 04, 2021
Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin


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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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$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection


Jan 08, 2020
Deqing Zou, Sujuan Wang, Shouhuai Xu, Zhen Li, Hai Jin

* To be published in IEEE Transactions on Dependable and Secure Computing 

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Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm


Nov 07, 2018
Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi

* Accepted at AAAI 2019 

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Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth


Sep 24, 2018
Pang Du, Zheyuan Sun, Huashan Chen, Jin-Hee Cho, Shouhuai Xu

* IEEE T-IFS (2018) 

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SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities


Sep 21, 2018
Zhen Li, Deqing Zou, Shouhuai Xu, Hai Jin, Yawei Zhu, Zhaoxuan Chen


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