Tran Huynh | Ph.D. Student @ Virginia Tech

About

I am a Ph.D. student at Virginia Tech, advised by Prof. Ruoxi Jia. My research focuses on Machine Learning Security and AI Safety, specifically addressing challenges like backdoor attacks and defenses, jailbreak robustness, and personalized safety alignment.

Recent News

Nov 2024 Selected Participant for the Amazon Nova AI Challenge

Aug 2024 Started my Ph.D. journey at Virginia Tech.

Selected Publications (In Proceedings)

Inference-Time Personalized Safety Control via Paired Difference-in-Means Intervention Tran Huynh, Ruoxi Jia International Conference on Learning Representations (ICLR), 2026

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Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia International Conference on Learning Representations (ICLR), 2026

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BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models Yi Zeng, Weiyu Sun, Tran Huynh, Dawn Song, Bo Li, Ruoxi Jia Empirical Methods in Natural Language Processing (EMNLP), 2024

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Data Poisoning Quantization Backdoor Attack Tran Huynh, Anh Tran, Khoa Doan, Tung Pham European Conference on Computer Vision (ECCV), 2024

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COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran Association for the Advancement of Artificial Intelligence (AAAI), 2024

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Education

2024 - 2029 Ph.D. in Computer Engineering, Virginia Tech

2018 - 2022 B.S. in Computer Science, University of Information Technology (UIT)