| VulRepair: A T5-Based Automated Software Vulnerability Repair M Fu, C Tantithamthavorn, T Le, V Nguyen, D Phung 30th ACM Joint European Software Engineering Conference and Symposium on the …, 2022 | 130 | 2022 |
| ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection VA Nguyen, DQ Nguyen, V Nguyen, T Le, QH Tran, D Phung 2022 IEEE/ACM 44th International Conference on Software Engineering …, 2022 | 93 | 2022 |
| Chatgpt for vulnerability detection, classification, and repair: How far are we? M Fu, CK Tantithamthavorn, V Nguyen, T Le 2023 30th Asia-Pacific Software Engineering Conference (APSEC), 632-636, 2023 | 41* | 2023 |
| Deep domain adaptation for vulnerable code function identification V Nguyen, T Le, T Le, K Nguyen, O DeVel, P Montague, L Qu, D Phung 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 41 | 2019 |
| Dual-component deep domain adaptation: A new approach for cross project software vulnerability detection V Nguyen, T Le, O de Vel, P Montague, J Grundy, D Phung Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 25 | 2020 |
| AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities M Fu, C Tantithamthavorn, T Le, Y Kume, V Nguyen, D Phung, J Grundy Empirical Software Engineering 29 (1), 4, 2024 | 24 | 2024 |
| Information-theoretic source code vulnerability highlighting V Nguyen, T Le, O De Vel, P Montague, J Grundy, D Phung 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 24 | 2021 |
| Vulexplainer: A transformer-based hierarchical distillation for explaining vulnerability types M Fu, V Nguyen, CK Tantithamthavorn, T Le, D Phung IEEE Transactions on Software Engineering, 2023 | 22 | 2023 |
| Graph-based semi-supervised support vector data description for novelty detection P Duong, V Nguyen, M Dinh, T Le, D Tran, W Ma 2015 International Joint Conference on Neural Networks (IJCNN), 1-6, 2015 | 16 | 2015 |
| Kernel-based semi-supervised learning for novelty detection V Nguyen, T Le, T Pham, M Dinh, TH Le 2014 International Joint Conference on Neural Networks (IJCNN), 4129-4136, 2014 | 15 | 2014 |
| Vision transformer inspired automated vulnerability repair M Fu, V Nguyen, C Tantithamthavorn, D Phung, T Le ACM Transactions on Software Engineering and Methodology 33 (3), 1-29, 2024 | 13 | 2024 |
| Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation T Nguyen, V Nguyen, T Le, H Zhao, QH Tran, D Phung The Conference on Uncertainty in Artificial Intelligence (UAI), 2022 | 11 | 2022 |
| Fuzzy semi-supervised large margin one-class support vector machine T Le, V Nguyen, T Pham, M Dinh, TH Le The National Foundation for Science and Technology Development (NAFOSTED …, 2014 | 9 | 2014 |
| Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations V Vo, T Le, V Nguyen, H Zhao, E Bonilla, G Haffari, D Phung 29th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD) 2023, 2023 | 7 | 2023 |
| An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability V Nguyen, T Le, C Tantithamthavorn, J Grundy, H Nguyen, S Camtepe, ... arXiv preprint arXiv:2209.10414, 2022 | 7 | 2022 |
| Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle V Nguyen, T Le, C Tantithamthavorn, J Grundy, H Nguyen, D Phung arXiv preprint arXiv:2209.10406, 2022 | 5 | 2022 |
| Deep Learning for Cyber Vulnerability Discovery: NGTF Project Scoping Study O De Vel, D Hubczenko, J Kim, P Montague, Y Xiang, D Phung, T Murray, ... | 5 | 2019 |
| Learning to quantize vulnerability patterns and match to locate statement-level vulnerabilities M Fu, T Le, V Nguyen, C Tantithamthavorn, D Phung arXiv preprint arXiv:2306.06109, 2023 | 4 | 2023 |
| An Additive Instance-Wise Approach to Multi-class Model Interpretation V Vo, V Nguyen, T Le, QH Tran, G Haffari, S Camtepe, D Phung International Conference on Representation Learning (ICLR) 2023, 2023 | 4 | 2023 |
| Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? V Nguyen, X Yuan, T Wu, S Nepal, M Grobler, C Rudolph arXiv preprint arXiv:2404.05964, 2024 | 2 | 2024 |
Trung LeFaculty of Information Technology, Monash University, AustraliaVerified email at monash.edu
