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Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints

Jan 06, 2021
Tianhao Wang, Dongruo Zhou, Quanquan Gu

* 17 pages 

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Improving Robustness to Model Inversion Attacks via Mutual Information Regularization

Sep 22, 2020
Tianhao Wang, Yuheng Zhang, Ruoxi Jia

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A Principled Approach to Data Valuation for Federated Learning

Sep 14, 2020
Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song

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Continuous Release of Data Streams under both Centralized and Local Differential Privacy

May 24, 2020
Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha

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When Machine Unlearning Jeopardizes Privacy

May 05, 2020
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

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Estimating Numerical Distributions under Local Differential Privacy

Dec 02, 2019
Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li

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Robust and Undetectable White-Box Watermarks for Deep Neural Networks

Oct 31, 2019
Tianhao Wang, Florian Kerschbaum

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Practical and Robust Privacy Amplification with Multi-Party Differential Privacy

Aug 30, 2019
Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha

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