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ORCIDWanrong Zhang 0001
Person information
- affiliation: Harvard University, MA, USA
- affiliation (PhD 2021): Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
Other persons with the same name
- Wanrong Zhang 0002 — Beijing University of Technology, Faculty of Information Technology, China
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2020 – today
- 2024
[j3]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): 94 (2024)- [i13]Nico Manzonelli, Wanrong Zhang, Salil P. Vadhan:
Membership Inference Attacks and Privacy in Topic Modeling. CoRR abs/2403.04451 (2024) - 2023
- [j2]Wanrong Zhang, Yajun Mei:
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control. Technometrics 65(1): 33-43 (2023) - [c9]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: 1949-1963 - [c8]Wanrong Zhang, Ruqi Zhang:
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. ICML 2023: 41847-41860 - [c7]Salil P. Vadhan, Wanrong Zhang:
Concurrent Composition Theorems for Differential Privacy. STOC 2023: 507-519 - [i12]Wanrong Zhang, Ruqi Zhang:
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. CoRR abs/2303.06171 (2023) - [i11]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 abs/2304.06929 (2023) - [i10]Mark Bun, Marco Gaboardi, Marcel Neunhoeffer, Wanrong Zhang:
Continual Release of Differentially Private Synthetic Data. CoRR abs/2306.07884 (2023) - [i9]Alyssa Huang, Peihan Liu, Ryumei Nakada, Linjun Zhang, Wanrong Zhang:
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training. CoRR abs/2306.08173 (2023) - [i8]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 abs/2309.05901 (2023) - 2022
- [c6]Wanrong Zhang, Yajun Mei, Rachel Cummings:
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. AISTATS 2022: 11356-11373 - [c5]Wanrong Zhang, Olga Ohrimenko, Rachel Cummings:
Attribute Privacy: Framework and Mechanisms. FAccT 2022: 757-766 - [i7]Wanrong Zhang, Yajun Mei, Rachel Cummings:
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. CoRR abs/2204.04597 (2022) - [i6]Salil P. Vadhan, Wanrong Zhang:
Concurrent Composition Theorems for all Standard Variants of Differential Privacy. CoRR abs/2207.08335 (2022) - 2021
- [b1]Wanrong Zhang:
Privacy-preserving Statistical Tools: Differential Privacy and Beyond. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [j1]Wanrong Zhang, Sara Krehbiel, Rui Tuo, Yajun Mei, Rachel Cummings:
Single and Multiple Change-Point Detection with Differential Privacy. J. Mach. Learn. Res. 22: 29:1-29:36 (2021) - [c4]Wanrong Zhang, Gautam Kamath, Rachel Cummings:
PAPRIKA: Private Online False Discovery Rate Control. ICML 2021: 12458-12467 - [c3]Wanrong Zhang, Shruti Tople, Olga Ohrimenko:
Leakage of Dataset Properties in Multi-Party Machine Learning. USENIX Security Symposium 2021: 2687-2704 - 2020
- [c2]Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang:
Privately detecting changes in unknown distributions. ICML 2020: 2227-2237 - [i5]Wanrong Zhang, Gautam Kamath, Rachel Cummings:
PAPRIKA: Private Online False Discovery Rate Control. CoRR abs/2002.12321 (2020) - [i4]Wanrong Zhang, Shruti Tople, Olga Ohrimenko:
Dataset-Level Attribute Leakage in Collaborative Learning. CoRR abs/2006.07267 (2020) - [i3]Wanrong Zhang, Olga Ohrimenko, Rachel Cummings:
Attribute Privacy: Framework and Mechanisms. CoRR abs/2009.04013 (2020)
2010 – 2019
- 2019
- [i2]Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang:
Privately detecting changes in unknown distributions. CoRR abs/1910.01327 (2019) - 2018
- [c1]Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang:
Differentially Private Change-Point Detection. NeurIPS 2018: 10848-10857 - [i1]Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang:
Differentially Private Change-Point Detection. CoRR abs/1808.10056 (2018)
Coauthor Index
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last updated on 2024-08-07 21:33 CEST by the dblp team
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