Wanrong Zhang - RankMe

29 papers A* 8A 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses. AAAI Hao Liang, Wanrong Zhang, Xinlei He, Kaishun Wu, Hong Xing
2025	J	`jnl`	An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses. CoRR Hao Liang, Wanrong Zhang, Xinlei He, Kaishun Wu, Hong Xing
2024	J	`jnl`	Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections. Proc. ACM Manag. Data Mark Bun, Marco Gaboardi, Marcel Neunhoeffer, Wanrong Zhang
2024	J	`jnl`	Membership Inference Attacks and Privacy in Topic Modeling. CoRR Nico Manzonelli, Wanrong Zhang, Salil P. Vadhan
2024	J	`jnl`	Membership Inference Attacks and Privacy in Topic Modeling. Trans. Mach. Learn. Res. Nico Manzonelli, Wanrong Zhang, Salil P. Vadhan
2023	J	`jnl`	Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control. Technometrics Wanrong Zhang, Yajun Mei
2023	J	`jnl`	Challenges towards the Next Frontier in Privacy. CoRR 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
2023	A*	`conf`	Concurrent Composition Theorems for Differential Privacy. STOC Salil P. Vadhan, Wanrong Zhang
2023	A*	`conf`	Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters. CCS Samuel Haney, Michael Shoemate, Grace Tian, Salil P. Vadhan, Andrew Vyrros, Vicki Xu, Wanrong Zhang
2023	J	`jnl`	Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters. CoRR Samuel Haney, Michael Shoemate, Grace Tian, Salil P. Vadhan, Andrew Vyrros, Vicki Xu, Wanrong Zhang
2023	J	`jnl`	Continual Release of Differentially Private Synthetic Data. CoRR Mark Bun, Marco Gaboardi, Marcel Neunhoeffer, Wanrong Zhang
2023	A*	`conf`	DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. ICML Wanrong Zhang, Ruqi Zhang
2023	J	`jnl`	DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. CoRR Wanrong Zhang, Ruqi Zhang
2023	J	`jnl`	Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training. CoRR Alyssa Huang, Peihan Liu, Ryumei Nakada, Linjun Zhang, Wanrong Zhang
2022	—	`conf`	Attribute Privacy: Framework and Mechanisms. FAccT Wanrong Zhang, Olga Ohrimenko, Rachel Cummings
2022	J	`jnl`	Concurrent Composition Theorems for all Standard Variants of Differential Privacy. CoRR Salil P. Vadhan, Wanrong Zhang
2022	A	`conf`	Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. AISTATS Wanrong Zhang, Yajun Mei, Rachel Cummings
2022	J	`jnl`	Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. CoRR Wanrong Zhang, Yajun Mei, Rachel Cummings
2021	A*	`conf`	Leakage of Dataset Properties in Multi-Party Machine Learning. USENIX Security Symposium Wanrong Zhang, Shruti Tople, Olga Ohrimenko
2021	A*	`conf`	PAPRIKA: Private Online False Discovery Rate Control. ICML Wanrong Zhang, Gautam Kamath, Rachel Cummings
2021	—	`—`	Privacy-preserving Statistical Tools: Differential Privacy and Beyond. Wanrong Zhang
2021	J	`jnl`	Single and Multiple Change-Point Detection with Differential Privacy. J. Mach. Learn. Res. Wanrong Zhang, Sara Krehbiel, Rui Tuo, Yajun Mei, Rachel Cummings
2020	J	`jnl`	Attribute Privacy: Framework and Mechanisms. CoRR Wanrong Zhang, Olga Ohrimenko, Rachel Cummings
2020	J	`jnl`	Dataset-Level Attribute Leakage in Collaborative Learning. CoRR Wanrong Zhang, Shruti Tople, Olga Ohrimenko
2020	J	`jnl`	PAPRIKA: Private Online False Discovery Rate Control. CoRR Wanrong Zhang, Gautam Kamath, Rachel Cummings
2020	A*	`conf`	Privately detecting changes in unknown distributions. ICML Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang
2019	J	`jnl`	Privately detecting changes in unknown distributions. CoRR Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang
2018	A*	`conf`	Differentially Private Change-Point Detection. NeurIPS Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang
2018	J	`jnl`	Differentially Private Change-Point Detection. CoRR Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang