| 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 | 1217 | 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 | 752 | 2022 |
| VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection D Zou, S Wang, S Xu, Z Li, H Jin IEEE Transactions on Dependable and Secure Computing 18 (5), 2224-2236, 2021 | 369 | 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 | 308 | 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 | 249 | 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 | 47 | 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 | 10 | 2021 |
| 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 | 9 | 2022 |
| 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 |
| 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 | 7 | 2023 |
| 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 |
| AdVulCode: Generating Adversarial Vulnerable Code against Deep Learning-Based Vulnerability Detectors X Yu, Z Li, X Huang, S Zhao Electronics 12 (4), 936, 2023 | 6 | 2023 |
Hai JinHuazhong University of Science and TechnologyVerificeret mail på hust.edu.cn