VulDeePecker: A deep learning-based system for vulnerability detection Z Li, D Zou, S Xu, X Ou, H Jin, S Wang, Z Deng, Y Zhong
Proceedings of the 25th Annual Network and Distributed System Security …, 2018
1211 2018 SySeVR: A framework for using deep learning to detect software vulnerabilities Z Li, D Zou, S Xu, H Jin, Y Zhu, Z Chen
IEEE Transactions on Dependable and Secure Computing 19 (4), 2244-2258, 2022
745 2022 D Zou, S Wang, S Xu, Z Li, H Jin
IEEE Transactions on Dependable and Secure Computing 18 (5), 2224-2236, 2021
365 2021 VulPecker: An automated vulnerability detection system based on code similarity analysis Z Li, D Zou, S Xu, H Jin, H Qi, J Hu
Proceedings of the 32nd Annual Computer Security Applications Conference …, 2016
307 2016 VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector Z Li, D Zou, S Xu, Z Chen, Y Zhu, H Jin
IEEE Transactions on Dependable and Secure Computing 19 (4), 2821-2837, 2022
245 2022 A comparative study of deep learning-based vulnerability detection system Z Li, D Zou, J Tang, Z Zhang, M Sun, H Jin
IEEE Access 7, 103184-103197, 2019
119 2019 BVDetector: A program slice-based binary code vulnerability intelligent detection system J Tian, W Xing, Z Li
Information and Software Technology 123, 106289, 2020
67 2020 RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation Z Li, G Chen, C Chen, Y Zou, S Xu
Proceedings of the 44th International Conference on Software Engineering (ICSE), 2022
47 2022 Interpreting deep learning-based vulnerability detector predictions based on heuristic searching D Zou, Y Zhu, S Xu, Z Li, H Jin, H Ye
ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (2), 1-31, 2021
46 2021 Network intrusion detection based on the temporal convolutional model IO Lopes, D Zou, IH Abdulqadder, S Akbar, Z Li, F Ruambo, W Pereira
Computers & Security 135, 103465, 2023
19 2023 Automatically identifying security bug reports via multitype features analysis D Zou, Z Deng, Z Li, H Jin
Proceedings of the 23rd Australasian Conference on Information Security and …, 2018
18 2018 SCVD: A New Semantics-Based Approach for Cloned Vulnerable Code Detection D Zou, H Qi, Z Li, S Wu, H Jin, G Sun, S Wang, Y Zhong
Proceedings of the 14th International Conference on Detection of Intrusions …, 2017
17 2017 Enhancing deep learning-based vulnerability detection by building behavior graph model B Yuan, Y Lu, Y Fang, Y Wu, D Zou, Z Li, Z Li, H Jin
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
12 2023 Towards making deep learning-based vulnerability detectors robust Z Li, J Tang, D Zou, Q Chen, S Xu, C Zhang, Y Li, H Jin
arXiv preprint arXiv:2108.00669, 2021
12 2021 Generating adversarial examples of source code classification models via q-learning-based markov decision process J Tian, C Wang, Z Li, Y Wen
2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021
9 2021 On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities Z Li, N Wang, D Zou, Y Li, R Zhang, S Xu, C Zhang, H Jin
Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024
8 2024 Generating adversarial source programs using important tokens-based structural transformations P Chen, Z Li, Y Wen, L Liu
2022 26th International Conference on Engineering of Complex Computer …, 2022
8 2022 AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process D Zou, J Yang, Z Li, H Jin, X Ma
Proceedings of the 14th International Conference on Green, Pervasive and …, 2019
7 2019 A Comparative Study of Adversarial Training Methods for Neural Models of Source Code Z Li, X Huang, Y Li, G Chen
Future Generation Computer Systems 142, 165-181, 2023
6 2023 Investigating the Impact of Vulnerability Datasets on Deep Learning-based Vulnerability Detectors L Liu, Z Li, Y Wen, P Chen
PeerJ Computer Science 8, e975, 2022
6 2022 
Hai JinHuazhong University of Science and TechnologyBestätigte E-Mail-Adresse bei hust.edu.cn