Jiachen T. Wang

46 papers A* 14A 2Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Sustainable AI Economy Needs Data Deals That Work for Generators. CoRR Ruoxi Jia, Luis Oala, Wenjie Xiong, Suqin Ge, Jiachen T. Wang, Feiyang Kang, Dawn Song
2025	J	`jnl`	Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks. CoRR Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia
2025	J	`jnl`	Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice. CoRR Jiachen T. Wang, Tong Wu, Kaifeng Lyu, James Zou, Dawn Song, Ruoxi Jia, Prateek Mittal
2025	A*	`conf`	Capturing the Temporal Dependence of Training Data Influence. ICLR Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia
2025	A*	`conf`	Data Shapley in One Training Run. ICLR Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia
2025	J	`jnl`	Does More Inference-Time Compute Really Help Robustness? CoRR Tong Wu, Chong Xiang, Jiachen T. Wang, Weichen Yu, Chawin Sitawarin, Vikash Sehwag, Prateek Mittal
2025	J	`jnl`	Effectively Controlling Reasoning Models through Thinking Intervention. CoRR Tong Wu, Chong Xiang, Jiachen T. Wang, Prateek Mittal
2025	J	`jnl`	Scaling Textual Gradients via Sampling-Based Momentum. CoRR Zixin Ding, Junyuan Hong, Jiachen T. Wang, Zinan Lin, Zhangyang Wang, Yuxin Chen
2025	—	`conf`	TokenShapley: Token Level Context Attribution with Shapley Value. ACL (Findings) Yingtai Xiao, Yuqing Zhu, Sirat Samyoun, Wanrong Zhang, Jiachen T. Wang, Jian Du
2025	J	`jnl`	TokenShapley: Token Level Context Attribution with Shapley Value. CoRR Yingtai Xiao, Yuqing Zhu, Sirat Samyoun, Wanrong Zhang, Jiachen T. Wang, Jian Du
2024	J	`jnl`	A Survey on Data Markets. CoRR Jiayao Zhang, Yuran Bi, Mengye Cheng, Jinfei Liu, Kui Ren, Qiheng Sun, Yihang Wu, Yang Cao, Raul Castro Fernandez, Haifeng Xu, Ruoxi Jia, Yongchan Kwon, Jian Pei, Jiachen T. Wang, Haocheng Xia, Li Xiong, Xiaohui Yu, James Zou
2024	J	`jnl`	An Economic Solution to Copyright Challenges of Generative AI. CoRR Jiachen T. Wang, Zhun Deng, Hiroaki Chiba-Okabe, Boaz Barak, Weijie J. Su
2024	A*	`conf`	BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. ICLR Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
2024	A*	`conf`	Boosting Alignment for Post-Unlearning Text-to-Image Generative Models. NeurIPS Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
2024	J	`jnl`	Boosting Alignment for Post-Unlearning Text-to-Image Generative Models. CoRR Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
2024	J	`jnl`	Capturing the Temporal Dependence of Training Data Influence. CoRR Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia
2024	A*	`conf`	DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. ICLR Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
2024	J	`jnl`	Data Shapley in One Training Run. CoRR Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia
2024	J	`jnl`	Data Valuation in the Absence of a Reliable Validation Set. Trans. Mach. Learn. Res. Himanshu Jahagirdar, Jiachen T. Wang, Ruoxi Jia
2024	A	`conf`	Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. AISTATS Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
2024	J	`jnl`	Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. CoRR Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
2024	A*	`conf`	GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration. NeurIPS Jiachen T. Wang, Tong Wu, Dawn Song, Prateek Mittal, Ruoxi Jia
2024	A*	`conf`	Language Models as Science Tutors. ICML Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez 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 Jason Ren, Sanjeev Arora, Danqi Chen
2024	J	`jnl`	Language Models as Science Tutors. CoRR Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen
2024	A*	`conf`	Privacy-Preserving In-Context Learning for Large Language Models. ICLR Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal
2024	A*	`conf`	Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. ICML Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia
2024	J	`jnl`	Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. CoRR Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia
2023	J	`jnl`	A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms". CoRR Jiachen T. Wang, Ruoxi Jia
2023	J	`jnl`	A Note on "Towards Efficient Data Valuation Based on the Shapley Value". CoRR Jiachen T. Wang, Ruoxi Jia
2023	A*	`conf`	A Privacy-Friendly Approach to Data Valuation. NeurIPS Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
2023	J	`jnl`	A Randomized Approach for Tight Privacy Accounting. CoRR Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
2023	A*	`conf`	A Randomized Approach to Tight Privacy Accounting. NeurIPS Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
2023	J	`jnl`	BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. CoRR Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
2023	J	`jnl`	DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. CoRR Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
2023	A	`conf`	Data Banzhaf: A Robust Data Valuation Framework for Machine Learning. AISTATS Jiachen T. Wang, Ruoxi Jia
2023	J	`jnl`	Differentially Private In-Context Learning. CoRR Ashwinee Panda, Tong Wu, Jiachen T. Wang, Prateek Mittal
2023	J	`jnl`	LAVA: Data Valuation without Pre-Specified Learning Algorithms. CoRR Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
2023	—	`conf`	ModelPred: A Framework for Predicting Trained Model from Training Data. SaTML Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia
2023	J	`jnl`	One-Round Active Learning through Data Utility Learning and Proxy Models. Trans. Mach. Learn. Res. Jiachen T. Wang, Si Chen, Ruoxi Jia
2023	J	`jnl`	Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. CoRR Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
2023	A*	`conf`	Towards A Proactive ML Approach for Detecting Backdoor Poison Samples. USENIX Security Symposium Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal
2023	J	`jnl`	Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion. Trans. Mach. Learn. Res. Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia
2023	A*	`conf`	Uncovering Adversarial Risks of Test-Time Adaptation. ICML Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
2023	J	`jnl`	Uncovering Adversarial Risks of Test-Time Adaptation. CoRR Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
2022	A*	`conf`	Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. NeurIPS Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
2022	J	`jnl`	Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. CoRR Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal