Privacy of synthetic data: a statistical framework

Privacy of synthetic data: a statistical framework

3 September 2021

Thomas Strohmer

Roman Vershynin

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Papers citing "Privacy of synthetic data: a statistical framework"

13 / 13 papers shown

Title
Optimizing Mouse Dynamics for User Authentication by Machine Learning: Addressing Data Sufficiency, Accuracy-Practicality Trade-off, and Model Performance Challenges Yi Wang Chengyv Wu Yang Liao Maowei You AAML 204 0 0 30 Apr 2025
Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data M. Boedihardjo Thomas Strohmer Roman Vershynin 64 23 0 13 Jul 2021
Differentially Private Query Release Through Adaptive Projection Sergul Aydore William Brown Michael Kearns K. Kenthapadi Luca Melis Aaron Roth Ankit Siva 85 68 0 11 Mar 2021
Leveraging Public Data for Practical Private Query Release Terrance Liu G. Vietri Thomas Steinke Jonathan R. Ullman Zhiwei Steven Wu 188 60 0 17 Feb 2021
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 127 1,624 0 01 Nov 2019
Synthesis of Realistic ECG using Generative Adversarial Networks Anne Marie Delaney Eoin Brophy T. Ward 66 80 0 19 Sep 2019
Capacity Bounded Differential Privacy Kamalika Chaudhuri Jacob Imola Ashwin Machanavajjhala 40 39 0 03 Jul 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 68 169 0 12 Feb 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 269 5,403 0 28 Sep 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 92 501 0 19 Feb 2018
Minimax Optimal Procedures for Locally Private Estimation John C. Duchi Martin J. Wainwright Michael I. Jordan 73 436 0 08 Apr 2016
$Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard$ Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard Jonathan R. Ullman 96 99 0 30 Jul 2012
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 116 464 0 21 Jul 2009