Triet Huynh Minh Le

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Risk Assessment

Buffer Overflow

Drift Detection

Top Venues

ACM Comput. Surv.

Publications

Anh The Nguyen, Triet Huynh Minh Le, Muhammad Ali Babar
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++. CoRR (2024)
Ali Kazemi Arani, Triet Huynh Minh Le, Mansooreh Zahedi, Muhammad Ali Babar
Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration. CoRR (2024)
Triet Huynh Minh Le, Muhammad Ali Babar
Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help? CoRR (2024)
Triet Huynh Minh Le, Xiaoning Du, Muhammad Ali Babar
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study. MSR (2024)
Triet Huynh Minh Le, Muhammad Ali Babar, Tung Hoang Thai
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. CoRR (2024)
Triet Huynh Minh Le, Muhammad Ali Babar, Tung Hoang Thai
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. EASE (2024)
Ali Kazemi Arani, Mansooreh Zahedi, Triet Huynh Minh Le, Muhammad Ali Babar
SoK: Machine Learning for Continuous Integration. CoRR (2023)
Ali Kazemi Arani, Triet Huynh Minh Le, Mansooreh Zahedi, Muhammad Ali Babar
Mitigating ML Model Decay in Continuous Integration with Data Drift Detection: An Empirical Study. CoRR (2023)
Ali Kazemi Arani, Mansooreh Zahedi, Triet Huynh Minh Le, Muhammad Ali Babar
SoK: Machine Learning for Continuous Integration. AIOps@ICSE (2023)
Ali Kazemi Arani, Triet Huynh Minh Le, Mansooreh Zahedi, Muhammad Ali Babar
Systematic Literature Review on Application of Machine Learning in Continuous Integration. CoRR (2023)
Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar
A Survey on Data-driven Software Vulnerability Assessment and Prioritization. ACM Comput. Surv. 55 (5) (2023)
Triet Huynh Minh Le, Muhammad Ali Babar
On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models. MSR (2022)
Triet Huynh Minh Le, Muhammad Ali Babar
On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models. CoRR (2022)
Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar
A Survey on Data-driven Software Vulnerability Assessment and Prioritization. CoRR (2021)
Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar
Automated Security Assessment for the Internet of Things. CoRR (2021)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. ASE (2021)
Triet Huynh Minh Le, Roland Croft, David Hin, Muhammad Ali Babar
A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites. EASE (2021)
Triet Huynh Minh Le, Bushra Sabir, Muhammad Ali Babar
Automated Software Vulnerability Assessment with Concept Drift. CoRR (2021)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. CoRR (2021)
Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar
Automated Security Assessment for the Internet of Things. PRDC (2021)
Triet Huynh Minh Le, Hao Chen, Muhammad Ali Babar
Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges. ACM Comput. Surv. 53 (3) (2020)
Triet Huynh Minh Le, Roland Croft, David Hin, Muhammad Ali Babar
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q&A Sites. CoRR (2020)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. CoRR (2020)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. MSR (2020)
Triet Huynh Minh Le, Hao Chen, Muhammad Ali Babar
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges. CoRR (2020)
Triet Huynh Minh Le, Bushra Sabir, Muhammad Ali Babar
Automated software vulnerability assessment with concept drift. MSR (2019)
Triet Huynh Minh Le, Tung Thanh Tran, Lam Kim Huynh
Linear support vector machine to classify the vibrational modes for complex chemical systems. ICMLSC (2018)