Van Nguyen - RankMe

52 papers A* 3A 2B 7C 6Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Too Helpful to Be Safe: User-Mediated Attacks on Planning and Web-Use Agents. CoRR Fengchao Chen, Tingmin Wu, Van Nguyen, Carsten Rudolph
2025	A*	`conf`	AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks. ICLR Van Nguyen, Tingmin Wu, Xingliang Yuan, Marthie Grobler, Surya Nepal, Carsten Rudolph
2025	J	`jnl`	DeepVulMatch: Learning and Matching Latent Vulnerability Representations for Dual-Granularity Vulnerability Detection. IEEE Trans. Reliab. Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung
2025	J	`jnl`	MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection. CoRR Van Nguyen, Surya Nepal, Xingliang Yuan, Tingmin Wu, Fengchao Chen, Carsten Rudolph
2025	A	`conf`	SAFE: A Novel Approach For Software Vulnerability Detection from Enhancing The Capability of Large Language Models. AsiaCCS Van Nguyen, Surya Nepal, Xingliang Yuan, Tingmin Wu, Carsten Rudolph
2025	J	`jnl`	SoK: Large Language Model-Generated Textual Phishing Campaigns End-to-End Analysis of Generation, Characteristics, and Detection. CoRR Fengchao Chen, Tingmin Wu, Van Nguyen, Carsten Rudolph
2024	J	`jnl`	A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation. CoRR Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
2024	J	`jnl`	A Pioneering Study and An Innovative Information Theory-based Approach to Enhance The Transparency in Phishing Detection. CoRR Van Nguyen, Tingmin Wu, Xingliang Yuan, Marthie Grobler, Surya Nepal, Carsten Rudolph
2024	J	`jnl`	AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities. Empir. Softw. Eng. Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy
2024	J	`jnl`	Adapting to Cyber Threats: A Phishing Evolution Network (PEN) Framework for Phishing Generation and Analyzing Evolution Patterns using Large Language Models. CoRR Fengchao Chen, Tingmin Wu, Van Nguyen, Shuo Wang, Hongsheng Hu, Alsharif Abuadbba, Carsten Rudolph
2024	C	`conf`	Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. FUSION Fatemeh Shiri, Farhad Moghimifar, Reza Haffari, Yuan-Fang Li, Van Nguyen, John Yoo
2024	J	`jnl`	Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. CoRR Fatemeh Shiri, Van Nguyen, Farhad Moghimifar, John Yoo, Gholamreza Haffari, Yuan-Fang Li
2024	J	`jnl`	Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Dinh Q. Phung
2024	J	`jnl`	Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? CoRR Van Nguyen, Xingliang Yuan, Tingmin Wu, Surya Nepal, Marthie Grobler, Carsten Rudolph
2024	J	`jnl`	SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection. CoRR Van Nguyen, Surya Nepal, Tingmin Wu, Xingliang Yuan, Carsten Rudolph
2024	—	`conf`	Utilizing Large Language Models with Human Feedback Integration for Generating Dedicated Warning for Phishing Emails. SecTL@AsiaCCS Quan Hong Nguyen, Tingmin Wu, Van Nguyen, Xingliang Yuan, Jason Xue, Carsten Rudolph
2024	J	`jnl`	Vision Transformer Inspired Automated Vulnerability Repair. ACM Trans. Softw. Eng. Methodol. Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le
2023	J	`jnl`	AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities. CoRR Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Phung, John C. Grundy
2023	A*	`conf`	An Additive Instance-Wise Approach to Multi-class Model Interpretation. ICLR Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung
2023	C	`conf`	Bounded Subjective Opinions. FUSION Michael Kenneth McDonald, Lance M. Kaplan, Van Nguyen
2023	C	`conf`	ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We? APSEC Michael Fu, Chakkrit Kla Tantithamthavorn, Van Nguyen, Trung Le
2023	J	`jnl`	ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We? CoRR Michael Fu, Chakkrit Tantithamthavorn, Van Nguyen, Trung Le
2023	A*	`conf`	Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations. KDD Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung
2023	C	`conf`	Few-shot Domain-Adaptative Visually-fused Event Detection from Text. FUSION Farhad Moghimifar, Fatemeh Shiri, Reza Haffari, Yuan-Fang Li, Van Nguyen
2023	J	`jnl`	Few-shot Domain-Adaptive Visually-fused Event Detection from Text. CoRR Fatemeh Shiri, Farhad Moghimifar, Van Nguyen, Reza Haffari, Yuan-Fang Li
2023	J	`jnl`	Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities. CoRR Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung
2023	—	`conf`	Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data. IJCNLP (2) Farhad Moghimifar, Fatemeh Shiri, Van Nguyen, Yuan-Fang Li, Gholamreza Haffari
2023	J	`jnl`	Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. CoRR Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu
2023	J	`jnl`	VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types. IEEE Trans. Software Eng. Michael Fu, Van Nguyen, Chakkrit Kla Tantithamthavorn, Trung Le, Dinh Q. Phung
2022	J	`jnl`	An Additive Instance-Wise Approach to Multi-class Model Interpretation. CoRR Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Q. Phung
2022	J	`jnl`	An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability. CoRR Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung
2022	J	`jnl`	Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle. CoRR Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Dinh Q. Phung
2022	A	`conf`	Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation. UAI Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
2022	J	`jnl`	Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations. CoRR Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung
2022	C	`conf`	Paraphrasing Techniques for Maritime QA system. FUSION Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen
2022	J	`jnl`	Paraphrasing Techniques for Maritime QA system. CoRR Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Van Nguyen, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li
2022	—	`conf`	ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. ICSE-Companion Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
2022	—	`conf`	VulRepair: a T5-based automated software vulnerability repair. ESEC/SIGSOFT FSE Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, Dinh Q. Phung
2021	—	`—`	Deep Learning for Software Security. Van Nguyen
2021	B	`conf`	Information-theoretic Source Code Vulnerability Highlighting. IJCNN Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung
2021	J	`jnl`	ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. CoRR Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Q. Phung
2021	C	`conf`	Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. FUSION Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu
2020	—	`conf`	Code Action Network for Binary Function Scope Identification. PAKDD (1) Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	B	`conf`	Code Pointer Network for Binary Function Scope Identification. IJCNN Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
2020	—	`conf`	Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. PAKDD (1) Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2019	B	`conf`	Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung
2018	—	`conf`	Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. WISE (2) Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2016	B	`conf`	Fast Kernel-based method for anomaly detection. IJCNN Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran
2016	J	`jnl`	Scalable Support Vector Machine for Semi-supervised Learning. CoRR Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung
2015	B	`conf`	Graph-based semi-supervised Support Vector Data Description for novelty detection. IJCNN Phuong Duong, Van Nguyen, Mi Dinh, Trung Le, Dat Tran, Wanli Ma
2014	B	`conf`	Kernel-based semi-supervised learning for novelty detection. IJCNN Van Nguyen, Trung Le, Thien Pham, Mi Dinh, Thai Hoang Le
2013	B	`conf`	Maximal margin learning vector quantisation. IJCNN Trung Le, Dat Tran, Van Nguyen, Wanli Ma