Zhen Li
Orcid: 0000-0002-0001-2998Affiliations:
- Hebei University, School of Cyber Security and Computer, Baoding, China
- Huazhong University of Science and Technology, School of Computer Science and Technology, Big Data Security Engineering Research Center, Wuhan, China
According to our database1,
Zhen Li
authored at least 27 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Reducing the Impact of Time Evolution on Source Code Authorship Attribution via Domain Adaptation.
ACM Trans. Softw. Eng. Methodol., July, 2024
IEEE Trans. Netw. Serv. Manag., June, 2024
IEEE Trans. Dependable Secur. Comput., 2024
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
Comput. Secur., December, 2023
A comparative study of adversarial training methods for neural models of source code.
Future Gener. Comput. Syst., May, 2023
Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Enhancing Deep Learning-based Vulnerability Detection by Building Behavior Graph Model.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
2022
IEEE Trans. Dependable Secur. Comput., 2022
IEEE Trans. Dependable Secur. Comput., 2022
Investigating the impact of vulnerability datasets on deep learning-based vulnerability detectors.
PeerJ Comput. Sci., 2022
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
Generating Adversarial Source Programs Using Important Tokens-based Structural Transformations.
Proceedings of the 26th International Conference on Engineering of Complex Computer Systems, 2022
2021
Interpreting Deep Learning-based Vulnerability Detector Predictions Based on Heuristic Searching.
ACM Trans. Softw. Eng. Methodol., 2021
$\mu$μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection.
IEEE Trans. Dependable Secur. Comput., 2021
Generating Adversarial Examples of Source Code Classification Models via Q-Learning-Based Markov Decision Process.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
2020
CoRR, 2020
2019
IEEE Access, 2019
AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process.
Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019
2018
Dataset, November, 2018
CoRR, 2018
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018
Proceedings of the Information Security and Privacy - 23rd Australasian Conference, 2018
2017
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2017
2016
VulPecker: an automated vulnerability detection system based on code similarity analysis.
Proceedings of the 32nd Annual Conference on Computer Security Applications, 2016