New Oracle-Efficient Algorithms for Private Synthetic Data Release

New Oracle-Efficient Algorithms for Private Synthetic Data Release

10 July 2020

Zhiwei Steven Wu

Papers citing "New Oracle-Efficient Algorithms for Private Synthetic Data Release"

17 / 17 papers shown

Title
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data Georgi Ganev Meenatchi Sundaram Muthu Selva Annamalai Sofiane Mahiou Emiliano De Cristofaro 24 2 0 09 Apr 2025
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report) Yongrui Zhong Yunqing Ge Jianbin Qin Yongrui Zhong Bo Tang Yu-Xuan Qiu Rui Mao Ye Yuan Makoto Onizuka Chuan Xiao 34 0 0 02 May 2024
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning Noah Golowich Ankur Moitra Dhruv Rohatgi OffRL 35 4 0 04 Apr 2024
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions Yingtai Xiao Guanlin He Danfeng Zhang Daniel Kifer 37 4 0 14 May 2023
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information Quan Yuan Zhikun Zhang L. Du Min Chen Peng Cheng Mingyang Sun 23 19 0 05 Apr 2023
Coincidental Generation Jordan W. Suchow Necdet Gurkan 33 0 0 03 Apr 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 96 167 0 01 Mar 2023
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 30 34 0 07 Nov 2022
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model Haiming Wang Zhikun Zhang Tianhao Wang Shibo He Michael Backes Jiming Chen Yang Zhang 43 35 0 02 Oct 2022
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation Sofiane Mahiou Kai Xu Georgi Ganev SyDa 13 11 0 12 Jul 2022
Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Raisa Joonas Jälkö Samuel Kaski Antti Honkela SyDa 43 10 0 28 May 2022
Statistical Data Privacy: A Song of Privacy and Utility Aleksandra B. Slavkovic Jeremy Seeman 23 26 0 06 May 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms Yuchao Tao Ryan McKenna Michael Hay Ashwin Machanavajjhala G. Miklau SyDa 33 83 0 16 Dec 2021
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges Ninghui Li Zhikun Zhang Tianhao Wang 21 17 0 24 Jun 2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods Terrance Liu G. Vietri Zhiwei Steven Wu SyDa 33 61 0 14 Jun 2021
Differentially Private Query Release Through Adaptive Projection Sergul Aydore William Brown Michael Kearns K. Kenthapadi Luca Melis Aaron Roth Ankit Siva 43 64 0 11 Mar 2021
Differentially Private Synthetic Data: Applied Evaluations and Enhancements Lucas Rosenblatt Xiao-Yang Liu Samira Pouyanfar Eduardo de Leon Anuj M. Desai Joshua Allen SyDa 21 64 0 11 Nov 2020