Wanrong Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Data Collections

Metropolis Hastings

Differentially Private

Top Venues

Proc. ACM Manag. Data

Publications

Mark Bun, Marco Gaboardi, Marcel Neunhoeffer, Wanrong Zhang
Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections. Proc. ACM Manag. Data 2 (2) (2024)
Nico Manzonelli, Wanrong Zhang, Salil P. Vadhan
Membership Inference Attacks and Privacy in Topic Modeling. CoRR (2024)
Samuel Haney, Michael Shoemate, Grace Tian, Salil P. Vadhan, Andrew Vyrros, Vicki Xu, Wanrong Zhang
Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters. CCS (2023)
Salil P. Vadhan, Wanrong Zhang
Concurrent Composition Theorems for Differential Privacy. STOC (2023)
Wanrong Zhang, Ruqi Zhang
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. CoRR (2023)
Alyssa Huang, Peihan Liu, Ryumei Nakada, Linjun Zhang, Wanrong Zhang
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training. CoRR (2023)
Samuel Haney, Michael Shoemate, Grace Tian, Salil P. Vadhan, Andrew Vyrros, Vicki Xu, Wanrong Zhang
Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters. CoRR (2023)
Mark Bun, Marco Gaboardi, Marcel Neunhoeffer, Wanrong Zhang
Continual Release of Differentially Private Synthetic Data. CoRR (2023)
Wanrong Zhang, Yajun Mei
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control. Technometrics 65 (1) (2023)
Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang
Challenges towards the Next Frontier in Privacy. CoRR (2023)
Wanrong Zhang, Ruqi Zhang
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. ICML (2023)
Salil P. Vadhan, Wanrong Zhang
Concurrent Composition Theorems for all Standard Variants of Differential Privacy. CoRR (2022)
Wanrong Zhang, Yajun Mei, Rachel Cummings
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. AISTATS (2022)
Wanrong Zhang, Olga Ohrimenko, Rachel Cummings
Attribute Privacy: Framework and Mechanisms. FAccT (2022)
Wanrong Zhang, Yajun Mei, Rachel Cummings
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. CoRR (2022)
Wanrong Zhang, Gautam Kamath, Rachel Cummings
PAPRIKA: Private Online False Discovery Rate Control. ICML (2021)
Wanrong Zhang, Shruti Tople, Olga Ohrimenko
Leakage of Dataset Properties in Multi-Party Machine Learning. USENIX Security Symposium (2021)
Wanrong Zhang, Sara Krehbiel, Rui Tuo, Yajun Mei, Rachel Cummings
Single and Multiple Change-Point Detection with Differential Privacy. J. Mach. Learn. Res. 22 (2021)
Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang
Privately detecting changes in unknown distributions. ICML (2020)
Wanrong Zhang, Olga Ohrimenko, Rachel Cummings
Attribute Privacy: Framework and Mechanisms. CoRR (2020)
Wanrong Zhang, Shruti Tople, Olga Ohrimenko
Dataset-Level Attribute Leakage in Collaborative Learning. CoRR (2020)
Wanrong Zhang, Gautam Kamath, Rachel Cummings
PAPRIKA: Private Online False Discovery Rate Control. CoRR (2020)
Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang
Privately detecting changes in unknown distributions. CoRR (2019)
Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang
Differentially Private Change-Point Detection. CoRR (2018)
Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang
Differentially Private Change-Point Detection. NeurIPS (2018)