Wang, Jiachen T.

19 publications

ICLR 2026 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

ICLR 2026 Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice Jiachen T. Wang, Tong Wu, Kaifeng Lyu, James Zou, Dawn Song, Ruoxi Jia, Prateek Mittal

NeurIPS 2025 A Sustainable AI Economy Needs Data Deals That Work for Generators Ruoxi Jia, Luis Oala, Wenjie Xiong, Suqin Ge, Jiachen T. Wang, Feiyang Kang, Dawn Song

ICLR 2025 Capturing the Temporal Dependence of Training Data Influence Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia

ICLR 2025 Data Shapley in One Training Run Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia

ICLR 2024 BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal

NeurIPS 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia

ICLR 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang

TMLR 2024 Data Valuation in the Absence of a Reliable Validation Set Himanshu Jahagirdar, Jiachen T. Wang, Ruoxi Jia

AISTATS 2024 Efficient Data Shapley for Weighted Nearest Neighbor Algorithms Jiachen T. Wang, Prateek Mittal, Ruoxi Jia

NeurIPS 2024 GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration Jiachen T. Wang, Tong Wu, Dawn Song, Prateek Mittal, Ruoxi Jia

ICML 2024 Language Models as Science Tutors Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Aragon, Arturo Rodriguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Xia, Jiatong Yu, Junjie Zhu, Zhiyong Ren, Sanjeev Arora, Danqi Chen

ICLR 2024 Privacy-Preserving In-Context Learning for Large Language Models Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal

ICML 2024 Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia

AISTATS 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang, Ruoxi Jia

TMLR 2023 One-Round Active Learning Through Data Utility Learning and Proxy Models Jiachen T. Wang, Si Chen, Ruoxi Jia

TMLR 2023 Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia

ICML 2023 Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal

NeurIPS 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal