华中科技大学主页平台管理系统 LI ZHEN--Home--Paper Publications

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李珍

358

Associate professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates

Professional Title:Associate professor
Gender:Female
Status:Employed
Department:Cyber Science And Engineering
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree in Engineering
Alma Mater:Huazhong University of Science and Technology

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Paper Publications Home >> Scientific Research >> Paper Publications: Junfeng Tian, Wenjing Xing, Zhen Li*. BVDetector: A Program Slice-based Binary Code Vulnerability Intelligent Detection System. Information & Software Technology. 2020, 123: 106289. (CCF B).

Zhen Li, Deqing Zou*, Jing Tang, Zhihao Zhang, Mingqian Sun, Hai Jin. A Comparative Study of Deep Learning-Based Vulnerability Detection System. IEEE Access, 2019,7: 103184-103197.

Zhen Li, Deqing Zou*, Zeli Wang, Hai Jin. Survey on Static Software Vulnerability Detection for Source Code. Chinese Journal of Network and Information Security, 2019,5(1): 1-14.

Deqing Zou, Ju Yang, Zhen Li*, Hai Jin, Xiaojing Ma. AutoCVSS: An Automatic Vulnerability Severity Assessment Approach Based on Attack Process. In Proceedings of the 14th International Conference on Green, Pervasive and Cloud Computing (GPC), Uberlândia, Brazil, May 26-28, 2019: 238-253. (CCF C).

Deqing Zou, Zhijun Deng, Zhen Li*, Hai Jin. Automatically Identifying Security Bug Reports via Multitype Features Analysis. In Proceedings of the 23rd Australasian Conference on Information Security and Privacy (ACISP), Wollongong, NSW, Australia, July 11-13, 2018: 619-633. (CCF C).

Deqing Zou, Hanchao Qi, Zhen Li*, Song Wu, Hai Jin, Guozhong Sun, Sujuan Wang, Yuyi Zhong. SCVD: A New Semantics-Based Approach for Cloned Vulnerable Code Detection. In Proceedings of the 14th International Conference Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA), Bonn, Germany, July 6-7, 2017: 325-344. (CCF C).

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first previousnextlast Page; Zhen Li, Ning Wang, Deqing Zou*, Yating Li, Ruqian Zhang, Shouhuai Xu, Chao Zhang, Hai Jin. On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE), Lisbon, Portugal, 2024. (CCF A).

Zhen Li, Ruqian Zhang, Deqing Zou*, Ning Wang, Yating Li, Shouhuai Xu, Chen Chen, Hai Jin. Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-based Code Classifiers. In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), Kirchberg, Luxembourg, 2023: 27-39. (CCF A).

Zhen Li, Xiang Huang, Yangrui Li, Guenevere Chen. A Comparative Study of Adversarial Training Methods for Neural Models of Source Code. Future Generation Computer Systems, 2023,142: 165-181. (JCR Q1).

Zhen Li, Guenevere Chen, Chen Chen, Yayi Zou, Shouhuai Xu. RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation. In Proceedings of the 44th International Conference on Software Engineering (ICSE), Pittsburgh, PA, USA, 2022: 1906-1918. (CCF A).

Zhen Li, Deqing Zou*, Shouhuai Xu, Zhaoxuan Chen, Yawei Zhu, Hai Jin. VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector. IEEE Transactions on Dependable and Secure Computing (TDSC). 2021. doi: 10.1109/TDSC.2021.3076142. (CCF A).

Zhen Li, Deqing Zou*, Shouhuai Xu, Hai Jin, Yawei Zhu, Zhaoxuan Chen. SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities. IEEE Transactions on Dependable and Secure Computing (TDSC). 2021. doi: 10.1109/TDSC.2021.3051525. (CCF A).

Zhen Li, Deqing Zou*, Shouhuai Xu, Xinyu Ou, Hai Jin, Sujuan Wang, Zhijun Deng, Yuyi Zhong. VulDeePecker: A Deep Learning-Based System for Vulnerability Detection. In Proceedings of the 25th Annual Network and Distributed System Security Symposium (NDSS), San Diego, USA, February 18-21, 2018. (BIG 4).

Zhen Li, Deqing Zou*, Shouhuai Xu, Hai Jin, Hanchao Qi, Jie Hu. VulPecker: An Automated Vulnerability Detection System Based on Code Similarity Analysis. In Proceedings of the 32nd Annual Computer Security Applications Conference (ACSAC), Los Angeles, USA, December 5-9, 2016: 201-213. (Top 80, CCF B).

Deqing Zou, Yawei Zhu, Shouhuai Xu, Zhen Li*, Hai Jin, and Hengkai Ye. Interpreting Deep Learning-based Vulnerability Detector Predictions Based on Heuristic Searching. ACM Transactions on Software Engineering and Methodology (TOSEM). 2021, 30(2):23:1-23:31. (CCF A).

Deqing Zou, Sujuan Wang, Shouhuai Xu, Zhen Li, and Hai Jin. μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection. IEEE Transactions on Dependable and Secure Computing (TDSC). 2021, 18(8): 2224-2236. (CCF A).

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