| 2025 | MSR | LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations. | Ziyang Ye, Triet Huynh Minh Le, M. Ali Babar |
| 2024 | EASE | Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. | Triet Huynh Minh Le, Muhammad Ali Babar, Tung Hoang Thai |
| 2024 | ESEM | Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help? | Triet Huynh Minh Le, Muhammad Ali Babar |
| 2024 | ESEM | Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We? | Triet Huynh Minh Le, Muhammad Ali Babar |
| 2024 | ESEM | Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++. | Anh The Nguyen, Triet Huynh Minh Le, Muhammad Ali Babar |
| 2024 | MSR | Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study. | Triet Huynh Minh Le, Xiaoning Du, Muhammad Ali Babar |
| 2023 | ICSE | SoK: Machine Learning for Continuous Integration. | Ali Kazemi Arani, Mansooreh Zahedi, Triet Huynh Minh Le, Muhammad Ali Babar |
| 2022 | MSR | On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models. | Triet Huynh Minh Le, Muhammad Ali Babar |
| 2021 | EASE | A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites. | Triet Huynh Minh Le, Roland Croft, David Hin, Muhammad Ali Babar |
| 2021 | PRDC | Automated Security Assessment for the Internet of Things. | Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar |
| 2020 | MSR | PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. | Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar |
| 2019 | MSR | Automated software vulnerability assessment with concept drift. | Triet Huynh Minh Le, Bushra Sabir, Muhammad Ali Babar |