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ORCIDVan Nguyen 0002
Person information
- affiliation: Monash University, Faculty of Information Technology, Clayton, Australia
Other persons with the same name
- Van Nguyen — disambiguation page
- Van Nguyen 0001 — New Mexico State University, Computer Science Departmen, Las Cruces, NM, USA
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Books and Theses
- 2021
[b1]Van Nguyen:
Deep Learning for Software Security. Monash University, Australia, 2021
Journal Articles
- 2024
- [j4]Michael Fu, Chakkrit Tantithamthavorn
, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy:
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities. Empir. Softw. Eng. 29(1): 4 (2024) - [j3]Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le:
Vision Transformer Inspired Automated Vulnerability Repair. ACM Trans. Softw. Eng. Methodol. 33(3): 78:1-78:29 (2024) - [j2]Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Dinh Q. Phung:
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 33(6): 162 (2024) - 2023
- [j1]Michael Fu, Van Nguyen, Chakkrit Kla Tantithamthavorn, Trung Le, Dinh Q. Phung:
VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types. IEEE Trans. Software Eng. 49(10): 4550-4565 (2023)
Conference and Workshop Papers
- 2024
- [c23]Fatemeh Shiri, Farhad Moghimifar, Reza Haffari, Yuan-Fang Li, Van Nguyen, John Yoo:
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. FUSION 2024: 1-8 - [c22]Quan Hong Nguyen, Tingmin Wu, Van Nguyen, Xingliang Yuan, Jason Xue, Carsten Rudolph:
Utilizing Large Language Models with Human Feedback Integration for Generating Dedicated Warning for Phishing Emails. SecTL@AsiaCCS 2024: 35-46 - 2023
- [c21]Michael Fu, Chakkrit Kla Tantithamthavorn, Van Nguyen, Trung Le:
ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We? APSEC 2023: 632-636 - [c20]Michael Kenneth McDonald, Lance M. Kaplan, Van Nguyen:
Bounded Subjective Opinions. FUSION 2023: 1-8 - [c19]Farhad Moghimifar, Fatemeh Shiri, Reza Haffari, Yuan-Fang Li, Van Nguyen:
Few-shot Domain-Adaptative Visually-fused Event Detection from Text. FUSION 2023: 1-8 - [c18]Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung:
An Additive Instance-Wise Approach to Multi-class Model Interpretation. ICLR 2023 - [c17]Farhad Moghimifar, Fatemeh Shiri, Van Nguyen, Yuan-Fang Li, Gholamreza Haffari:
Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data. IJCNLP (2) 2023: 139-145 - [c16]Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung:
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations. KDD 2023: 2211-2222 - 2022
- [c15]Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen:
Paraphrasing Techniques for Maritime QA system. FUSION 2022: 1-8 - [c14]Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung:
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. ICSE-Companion 2022: 178-182 - [c13]Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, Dinh Q. Phung:
VulRepair: a T5-based automated software vulnerability repair. ESEC/SIGSOFT FSE 2022: 935-947 - [c12]Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung:
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation. UAI 2022: 1519-1529 - 2021
- [c11]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. FUSION 2021: 1-8 - [c10]Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung:
Information-theoretic Source Code Vulnerability Highlighting. IJCNN 2021: 1-8 - 2020
- [c9]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung:
Code Pointer Network for Binary Function Scope Identification. IJCNN 2020: 1-7 - [c8]Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. PAKDD (1) 2020: 699-711 - [c7]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Code Action Network for Binary Function Scope Identification. PAKDD (1) 2020: 712-725 - 2019
- [c6]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung:
Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN 2019: 1-8 - 2018
- [c5]Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. WISE (2) 2018: 100-110 - 2016
- [c4]Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran:
Fast Kernel-based method for anomaly detection. IJCNN 2016: 3211-3217 - 2015
- [c3]Phuong Duong, Van Nguyen, Mi Dinh, Trung Le, Dat Tran, Wanli Ma:
Graph-based semi-supervised Support Vector Data Description for novelty detection. IJCNN 2015: 1-6 - 2014
- [c2]Van Nguyen, Trung Le, Thien Pham, Mi Dinh, Thai Hoang Le:
Kernel-based semi-supervised learning for novelty detection. IJCNN 2014: 4129-4136 - 2013
- [c1]Trung Le, Dat Tran, Van Nguyen, Wanli Ma:
Maximal margin learning vector quantisation. IJCNN 2013: 1-6
Informal and Other Publications
- 2024
- [i17]Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung:
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation. CoRR abs/2401.15952 (2024) - [i16]Van Nguyen, Tingmin Wu, Xingliang Yuan, Marthie Grobler, Surya Nepal, Carsten Rudolph:
A Pioneering Study and An Innovative Information Theory-based Approach to Enhance The Transparency in Phishing Detection. CoRR abs/2402.17092 (2024) - [i15]Van Nguyen, Xingliang Yuan, Tingmin Wu, Surya Nepal, Marthie Grobler, Carsten Rudolph:
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? CoRR abs/2404.05964 (2024) - [i14]Fatemeh Shiri, Van Nguyen, Farhad Moghimifar, John Yoo, Gholamreza Haffari, Yuan-Fang Li:
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. CoRR abs/2406.01045 (2024) - [i13]Van Nguyen, Surya Nepal, Tingmin Wu, Xingliang Yuan, Carsten Rudolph:
SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection. CoRR abs/2409.00882 (2024) - 2023
- [i12]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. CoRR abs/2305.02471 (2023) - [i11]Fatemeh Shiri, Farhad Moghimifar, Van Nguyen, Reza Haffari, Yuan-Fang Li:
Few-shot Domain-Adaptive Visually-fused Event Detection from Text. CoRR abs/2305.03517 (2023) - [i10]Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Phung, John C. Grundy:
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities. CoRR abs/2305.16615 (2023) - [i9]Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung:
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities. CoRR abs/2306.06109 (2023) - [i8]Michael Fu, Chakkrit Tantithamthavorn, Van Nguyen, Trung Le:
ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We? CoRR abs/2310.09810 (2023) - 2022
- [i7]Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Van Nguyen, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li:
Paraphrasing Techniques for Maritime QA system. CoRR abs/2203.10854 (2022) - [i6]Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Q. Phung:
An Additive Instance-Wise Approach to Multi-class Model Interpretation. CoRR abs/2207.03113 (2022) - [i5]Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Dinh Q. Phung:
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle. CoRR abs/2209.10406 (2022) - [i4]Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung:
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability. CoRR abs/2209.10414 (2022) - [i3]Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung:
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations. CoRR abs/2209.13446 (2022) - 2021
- [i2]Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Q. Phung:
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. CoRR abs/2110.07317 (2021) - 2016
- [i1]Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung:
Scalable Support Vector Machine for Semi-supervised Learning. CoRR abs/1606.06793 (2016)
Coauthor Index
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