Jiachen T. Wang
Jiachen T. Wang
About Me
Publications
Publications
Type
Conference paper
Date
2024
2023
2022
2021
2020
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)
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)
Paper
Efficient Data Valuation for Weighted Nearest Neighbor Algorithms
Jiachen T. Wang
, Prateek Mittal, Ruoxi Jia
AISTATS'24
(Oral Presentation)
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)
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)
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)
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)
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
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