Zhang, Wanrong

8 publications

TMLR 2024 Membership Inference Attacks and Privacy in Topic Modeling Nico Manzonelli, Wanrong Zhang, Salil Vadhan

ICML 2023 DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference Wanrong Zhang, Ruqi Zhang

NeurIPSW 2023 Training Private and Efficient Language Models with Synthetic Data from LLMs Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

AISTATS 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size Wanrong Zhang, Yajun Mei, Rachel Cummings

ICML 2021 PAPRIKA: Private Online False Discovery Rate Control Wanrong Zhang, Gautam Kamath, Rachel Cummings

JMLR 2021 Single and Multiple Change-Point Detection with Differential Privacy Wanrong Zhang, Sara Krehbiel, Rui Tuo, Yajun Mei, Rachel Cummings

ICML 2020 Privately Detecting Changes in Unknown Distributions Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang

NeurIPS 2018 Differentially Private Change-Point Detection Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang