Zhen Li

Orcid: 0000-0002-0001-2998

Affiliations:

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 19 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2023

Network intrusion detection based on the temporal convolutional model.

[BibT_eX]

[DOI]

Comput. Secur., December, 2023

2022

VulDeeLocator: A Deep Learning-Based Fine-Grained Vulnerability Detector.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Investigating the impact of vulnerability datasets on deep learning-based vulnerability detectors.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2022

Towards Improving Multiple Authorship Attribution of Source Code.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Generating Adversarial Source Programs Using Important Tokens-based Structural Transformations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2021

$\mu$μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2021

Towards Making Deep Learning-based Vulnerability Detectors Robust.

[BibT_eX]

[DOI]

CoRR, 2021

Generating Adversarial Examples of Source Code Classification Models via Q-Learning-Based Markov Decision Process.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020

μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection.

[BibT_eX]

[DOI]

CoRR, 2020

2019

A Comparative Study of Deep Learning-Based Vulnerability Detection System.

[BibT_eX]

[DOI]

IEEE Access, 2019

AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process.

[BibT_eX]

[DOI]

Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

2018

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

[BibT_eX]

[DOI]

Dataset, November, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

VulDeePecker: A Deep Learning-Based System for Vulnerability Detection.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Automatically Identifying Security Bug Reports via Multitype Features Analysis.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Privacy - 23rd Australasian Conference, 2018

2017

SCVD: A New Semantics-Based Approach for Cloned Vulnerable Code Detection.

[BibT_eX]

[DOI]

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2017

2016

VulPecker: an automated vulnerability detection system based on code similarity analysis.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual Conference on Computer Security Applications, 2016

Zhen Li

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