Jiachen T. Wang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 28

Top Topics

Top Venues

Publications

Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. CoRR (2024)
Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. AISTATS (2024)
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. ICLR (2024)
Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. CoRR (2024)
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
Language Models as Science Tutors. CoRR (2024)
Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia
Data Shapley in One Training Run. CoRR (2024)
Jiachen T. Wang, Zhun Deng, Hiroaki Chiba-Okabe, Boaz Barak, Weijie J. Su
An Economic Solution to Copyright Challenges of Generative AI. CoRR (2024)
Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal
Privacy-Preserving In-Context Learning for Large Language Models. ICLR (2024)
Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. ICLR (2024)
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. CoRR (2023)
Jiachen T. Wang, Si Chen, Ruoxi Jia
One-Round Active Learning through Data Utility Learning and Proxy Models. Trans. Mach. Learn. Res. 2023 (2023)
Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. CoRR (2023)
Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
A Randomized Approach for Tight Privacy Accounting. CoRR (2023)
Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Uncovering Adversarial Risks of Test-Time Adaptation. CoRR (2023)
Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia
ModelPred: A Framework for Predicting Trained Model from Training Data. SaTML (2023)
Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
A Privacy-Friendly Approach to Data Valuation. NeurIPS (2023)
Jiachen T. Wang, Ruoxi Jia
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning. AISTATS (2023)
Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
A Randomized Approach to Tight Privacy Accounting. NeurIPS (2023)
Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia
Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion. Trans. Mach. Learn. Res. 2023 (2023)
Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Uncovering Adversarial Risks of Test-Time Adaptation. ICML (2023)
Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal
Towards A Proactive ML Approach for Detecting Backdoor Poison Samples. USENIX Security Symposium (2023)
Jiachen T. Wang, Ruoxi Jia
A Note on "Towards Efficient Data Valuation Based on the Shapley Value". CoRR (2023)
Jiachen T. Wang, Ruoxi Jia
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms". CoRR (2023)
Ashwinee Panda, Tong Wu, Jiachen T. Wang, Prateek Mittal
Differentially Private In-Context Learning. CoRR (2023)
Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. CoRR (2023)
Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
LAVA: Data Valuation without Pre-Specified Learning Algorithms. CoRR (2023)
Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. NeurIPS (2022)
Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. CoRR (2022)