A Principled Approach to Data Valuation for Federated Learning. - Tianhao Wang 013; Johannes Rausch; Ce Zhang 001; Ruoxi Jia 001; Dawn Song (CoRR, 2020)

A Principled Approach to Data Valuation for Federated Learning. - Tianhao Wang 013; Johannes Rausch; Ce Zhang 001; Ruoxi Jia 001; Dawn Song (Federated Learning, 2020)

Improving Robustness to Model Inversion Attacks via Mutual Information Regularization. - Tianhao Wang 013; Yuheng Zhang; Ruoxi Jia 001 (AAAI, 2021)

One-Round Active Learning. - Tianhao Wang 013; Si Chen 008; Ruoxi Jia 001 (CoRR, 2021)

A Unified Framework for Task-Driven Data Quality Management. - Tianhao Wang 013; Yi Zeng 005; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2021)

Learnability of Learning Performance and Its Application to Data Valuation. - Tianhao Wang 013; Yu Yang 011; Ruoxi Jia 001 (CoRR, 2021)

Zero-Round Active Learning. - Si Chen 008; Tianhao Wang 013; Ruoxi Jia 001 (CoRR, 2021)

Learning to Refit for Convex Learning Problems. - Yingyan Zeng; Tianhao Wang 013; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (CoRR, 2021)

Concurrent Composition of Differential Privacy. - Salil P. Vadhan; Tianhao Wang 013 (IACR Cryptol. ePrint Arch., 2021)

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. - Wenxiao Wang 002; Tianhao Wang 013; Lun Wang 001; Nanqing Luo; Pan Zhou; Dawn Song; Ruoxi Jia 001 (Proc. Priv. Enhancing Technol., 2021)

Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity. - Tianhao Wang 013; Ruoxi Jia 001 (CoRR, 2022)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Tianhao Wang 013; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2023)