Xinda Wang

Orcid: 0000-0003-3648-1750

Affiliations:

University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
George Mason University, VA, USA (Ph.D., 2023)

According to our database¹, Xinda Wang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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Bibliography

2024

A Hybrid System Call Profiling Approach for Container Protection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Exploring Security Commits in Python.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

DeepEAD: Explainable Anomaly Detection from System Logs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

SysCap: Profiling and Crosschecking Syscall and Capability Configurations for Docker Images.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

2021

PatchRNN: A Deep Learning-Based System for Security Patch Identification.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Military Communications Conference, 2021

PatchDB: A Large-Scale Security Patch Dataset.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020

A Machine Learning Approach to Classify Security Patches into Vulnerability Types.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

An Empirical Study of Secret Security Patch in Open Source Software.

[BibT_eX]

[DOI]

Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020

2019

Detecting "0-Day" Vulnerability: An Empirical Study of Secret Security Patch in OSS.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Xinda Wang

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