Phan, Hai

13 publications

TMLR 2026 Watermarking Degrades Alignment in Language Models: Analysis and Mitigation Apurv Verma, Hai Phan, Shubhendu Trivedi

ACML 2025 $δ$-STEAL: LLM Stealing Attack with Local Differential Privacy Kieu Dang, Phung Lai, Hai Phan, Yelong Shen, Ruoming Jin, Abdallah Khreishah

TMLR 2025 Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs) Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, John A. Doucette, David Rabinowitz, Leslie Barrett, Tom Ault, Hai Phan

ICLRW 2025 Watermarking Degrades Alignment in Language Models: Analysis and Mitigation Apurv Verma, Hai Phan, Shubhendu Trivedi

WACV 2024 Fast and Interpretable Face Identification for Out-of-Distribution Data Using Vision Transformers Hai Phan, Cindy X. Le, Vu Le, Yihui He, Anh “Totti” Nguyen

NeurIPSW 2023 How to Backdoor HyperNetwork in Personalized Federated Learning? Phung Lai, Hai Phan, Issa Khalil, Abdallah Khreishah, Xintao Wu

AAAI 2023 XRand: Differentially Private Defense Against Explanation-Guided Attacks Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai

CVPR 2022 DeepFace-EMD: Re-Ranking Using Patch-Wise Earth Mover's Distance Improves Out-of-Distribution Face Identification Hai Phan, Anh Nguyen

CoLLAs 2022 Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My Thai, An Chen

CVPR 2020 Binarizing MobileNet via Evolution-Based Searching Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen

WACV 2020 MoBiNet: A Mobile Binary Network for Image Classification Hai Phan, Dang The Huynh, Yihui He, Marios Savvides, Zhiqiang Shen

ICML 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning Hai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou

AAAI 2008 The Hidden Permutation Model and Location-Based Activity Recognition Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh, Hai Phan