Triet Huynh Minh Le

Orcid: 0000-0003-1935-037X

According to our database1, Triet Huynh Minh Le authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023
A Survey on Data-driven Software Vulnerability Assessment and Prioritization.
ACM Comput. Surv., 2023

SoK: Machine Learning for Continuous Integration.
Proceedings of the IEEE/ACM International Workshop on Cloud Intelligence & AIOps, 2023

2022
Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches.
CoRR, 2022

On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021
Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges.
ACM Comput. Surv., 2021

Automated Security Assessment for the Internet of Things.
Proceedings of the 26th IEEE Pacific Rim International Symposium on Dependable Computing, 2021

DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites.
Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

2020
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q&A Sites.
CoRR, 2020

PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

2019
Automated software vulnerability assessment with concept drift.
Proceedings of the 16th International Conference on Mining Software Repositories, 2019

2018
Linear support vector machine to classify the vibrational modes for complex chemical systems.
Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, 2018


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