Publications | Jiachen T. Wang

Capturing the Temporal Dependence of Training Data Influence

Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia

ICLR'25
Oral Presentation (top ~1.5% among submissions)

Data Shapley in One Training Run

Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia

ICLR'25
Oral Presentation (top ~1.5% among submissions)
Outstanding Paper Honorable Mention (6 out of 11,000+ submissions)

Paper

GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration

Jiachen T. Wang, Tong Wu, Dawn Song, Prateek Mittal, Ruoxi Jia

NeurIPS'24
Spotlight Presentation (top ~3% among submissions)

Paper

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits

Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia

ICML'24
Oral Presentation (top ~1.5% among submissions)

Paper

Efficient Data Valuation for Weighted Nearest Neighbor Algorithms

Jiachen T. Wang, Prateek Mittal, Ruoxi Jia

AISTATS'24
Oral Presentation (top ~1.5% among submissions)

Paper

Privacy-Preserving In-Context Learning for Large Language Models

Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal

ICLR'24

Paper

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang

ICLR'24
Spotlight Presentation (top ~3% among submissions)

Paper

Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal

NeurIPS'23
Spotlight Presentation (top ~3% among submissions)

Paper

A Randomized Approach for Tight Privacy Accounting

Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal

NeurIPS'23

Paper

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

Jiachen T. Wang, Ruoxi Jia

AISTATS'23
Oral Presentation (top ~1.5% among submissions)

Paper

LAVA: Data Valuation without Pre-Specified Learning Algorithms

Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia

ICLR'23
Spotlight Presentation (top ~3% among submissions)

Paper

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

NeurIPS'22

Paper

Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning

Tianhao Wang, Yu Yang, Ruoxi Jia

ICLR 2022 Workshop on Socially Responsible Machine Learning

Paper

Concurrent Composition of Differential Privacy

Salil Vadhan, Tianhao Wang (alphabetical order)

TCC'21, TPDP'21

Paper

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing

Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia

PETS'21 (acceptance rate: 19%)

Paper

RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks

Tianhao Wang, Florian Kerschbaum

WWW'21 (acceptance rate: 20.6%)

Paper

Improving Robustness to Model Inversion Attacks via Mutual Information Regularization

Tianhao Wang, Yuheng Zhang, Ruoxi Jia

AAAI'21 (acceptance rate: 21%)

Paper

A Principled Approach to Data Valuation for Federated Learning

Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song

Federated Learning: Privacy and Incentives (2020)

Paper