Front-end-of-line attacks in split manufacturing. - Yujie Wang; Tri Cao; Jiang Hu; Jeyavijayan Rajendran (ICCAD, 2017)

Ensemble approaches for Test Case Prioritization in UI testing. - Tri Cao; Tuan Vu; Huyen Le; Vu Nguyen (SEKE, 2022)

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. - Duy M. H. Nguyen; Hoang Nguyen; Truong Thanh Nhat Mai; Tri Cao; Binh T. Nguyen 001; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag (AAAI, 2023)

Anomaly Detection under Distribution Shift. - Tri Cao; Jiawen Zhu; Guansong Pang (ICCV, 2023)

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. - Duy M. H. Nguyen; Hoang Nguyen; Nghiem Tuong Diep; Tan Ngoc Pham; Tri Cao; Binh T. Nguyen 001; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert (NeurIPS, 2023)

MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation. - Tan-Cong Nguyen; Tien-Phat Nguyen; Tri Cao; Thao Thi Phuong Dao; Thi-Ngoc Ho; Tam V. Nguyen 002; Minh-Triet Tran (Comput. Methods Programs Biomed., 2023)

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection. - Yuexin Li; Chengyu Huang 003; Shumin Deng; Mei Lin Lock; Tri Cao; Nay Oo; Hoon Wei Lim; Bryan Hooi (USENIX Security Symposium, 2024)

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection. - Tri Cao; Minh-Huy Trinh; Ailin Deng; Quoc-Nam Nguyen; Khoa Duong; Ngai-Man Cheung; Bryan Hooi (CoRR, 2024)

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation. - Huy Trinh; Khang Tran; Nam Nguyen; Tri Cao; Binh Nguyen (CoRR, 2024)

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection. - Tri Cao; Chengyu Huang 003; Yuexin Li; Huilin Wang; Amy He; Nay Oo; Bryan Hooi (AAAI, 2025)

Words or Vision: Do Vision-Language Models Have Blind Faith in Text? - Ailin Deng; Tri Cao; Zhirui Chen; Bryan Hooi (CVPR, 2025)

PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection. - Yuexin Li; Hiok Kuek Tan; Qiaoran Meng; Mei Lin Lock; Tri Cao; Shumin Deng; Nay Oo; Hoon Wei Lim; Bryan Hooi (WWW (Companion Volume), 2025)

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models. - Yuan Sui; Yufei He; Tri Cao; Simeng Han; Bryan Hooi (CoRR, 2025)

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. - Yue Liu 008; Shengfang Zhai; Mingzhe Du; Yulin Chen; Tri Cao; Hongcheng Gao; Cheng Wang; Xinfeng Li; Kun Wang 056; Junfeng Fang; Jiaheng Zhang; Bryan Hooi (CoRR, 2025)

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents. - Tri Cao; Bennett Lim; Yue Liu 008; Yuan Sui; Yuexin Li; Shumin Deng; Lin Lu; Nay Oo; Shuicheng Yan; Bryan Hooi (CoRR, 2025)

Automating Steering for Safe Multimodal Large Language Models. - Lyucheng Wu; Mengru Wang; Ziwen Xu; Tri Cao; Nay Oo; Bryan Hooi; Shumin Deng (CoRR, 2025)