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Wanrong 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
- Wanrong Zhang 0003 — University of Southern California, Los Angeles, CA, USA
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2020 – today
- 2024
- [j3]Mark Bun
, Marco Gaboardi
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
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
Challenges towards the Next Frontier in Privacy. CoRR abs/2304.06929 (2023) - [i10]Mark Bun, Marco Gaboardi
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
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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