New Oracle-Efficient Algorithms for Private Synthetic Data Release

10 July 2020

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

50 / 52 papers shown

Title
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Sofiane Mahiou Amir Dizche Reza Nazari Xinmin Wu Ralph Abbey Jorge Silva Georgi Ganev 28 0 0 31 May 2025
Benchmarking Differentially Private Tabular Data Synthesis Kai Chen Xiaochen Li Chen Gong Ryan McKenna Tianhao Wang 76 2 0 18 Apr 2025
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy Georgi Ganev Meenatchi Sundaram Muthu Selva Annamalai Sofiane Mahiou Emiliano De Cristofaro MIACV 107 1 0 11 Apr 2025
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 69 3 0 09 Apr 2025
PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics Quan Yuan Zhikun Zhang L. Du Min Chen Mingyang Sun Yunjun Gao Michael Backes Shibo He Jiming Chen 171 0 0 16 Dec 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training Kristjan Greenewald Yuancheng Yu Hao Wang Kai Xu 135 2 0 25 Oct 2024
Private Regression via Data-Dependent Sufficient Statistic Perturbation Cecilia Ferrando Daniel Sheldon 90 1 0 23 May 2024
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 105 1 0 02 May 2024
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning Noah Golowich Ankur Moitra Dhruv Rohatgi OffRL 70 4 0 04 Apr 2024
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data Miguel Fuentes Brett Mullins Ryan McKenna G. Miklau Daniel Sheldon 73 5 0 12 Mar 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 115 25 0 21 Feb 2024
Oracle-Efficient Differentially Private Learning with Public Data Adam Block Mark Bun Rathin Desai Abhishek Shetty Steven Wu FedML 48 2 0 13 Feb 2024
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown Aadyaa Maddi Swadhin Routray Alexander Goldberg Giulia Fanti 51 0 0 31 Jan 2024
Privacy-preserving data release leveraging optimal transport and particle gradient descent Konstantin Donhauser Javier Abad Neha Hulkund Fanny Yang 94 5 0 31 Jan 2024
A Study on Training and Developing Large Language Models for Behavior Tree Generation Fu Li Xueying Wang Bin Li Yunlong Wu Yanzhen Wang Xiaodong Yi 59 5 0 16 Jan 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt Julia Stoyanovich Christopher Musco 59 2 0 18 Dec 2023
Private Synthetic Data Meets Ensemble Learning Haoyuan Sun Navid Azizan Akash Srivastava Hao Wang SyDa 39 1 0 15 Oct 2023
Partition-based differentially private synthetic data generation Meifan Zhang Dihang Deng Lihua Yin 47 0 0 10 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 80 5 0 27 Sep 2023
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms Shweta Patwa Danyu Sun Amir Gilad Ashwin Machanavajjhala Sudeepa Roy 43 1 0 15 Sep 2023
SoK: Privacy-Preserving Data Synthesis Yuzheng Hu Fan Wu Yue Liu Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Yue Liu Basel Alomair 113 33 0 05 Jul 2023
Turbo: Effective Caching in Differentially-Private Databases Kelly Kostopoulou Pierre Tholoniat Asaf Cidon Roxana Geambasu Mathias Lécuyer 70 1 0 28 Jun 2023
Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections Mark Bun Marco Gaboardi Marcel Neunhoeffer Wanrong Zhang SyDa 58 7 0 13 Jun 2023
Generating Private Synthetic Data with Genetic Algorithms Terrance Liu Jin-Lin Tang G. Vietri Zhiwei Steven Wu SyDa 70 18 0 05 Jun 2023
Post-processing Private Synthetic Data for Improving Utility on Selected Measures Hao Wang Shivchander Sudalairaj J. Henning Kristjan Greenewald Akash Srivastava 60 6 0 24 May 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions Yingtai Xiao Guanlin He Qiang Yan Daniel Kifer 107 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 75 19 0 05 Apr 2023
Coincidental Generation Jordan W. Suchow Necdet Gurkan 52 0 0 03 Apr 2023
Differentially Private Algorithms for Synthetic Power System Datasets V. Dvorkin A. Botterud 28 10 0 20 Mar 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 156 183 0 01 Mar 2023
Pushing the Boundaries of Private, Large-Scale Query Answering Brendan Avent Aleksandra Korolova 78 0 0 09 Feb 2023
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 80 39 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 127 40 0 02 Oct 2022
Private Synthetic Data for Multitask Learning and Marginal Queries G. Vietri Cédric Archambeau Sergul Aydore William Brown Michael Kearns Aaron Roth Ankit Siva Shuai Tang Zhiwei Steven Wu SyDa 92 31 0 15 Sep 2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy Lucas Rosenblatt Bernease Herman Anastasia Holovenko Wonkwon Lee Joshua R. Loftus Elizabeth McKinnie Taras Rumezhak Andrii Stadnik Bill Howe Julia Stoyanovich 56 5 0 26 Aug 2022
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation Sofiane Mahiou Kai Xu Georgi Ganev SyDa 54 12 0 12 Jul 2022
Private Synthetic Data with Hierarchical Structure Terrance Liu Zhiwei Steven Wu SyDa 44 3 0 13 Jun 2022
Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Raisa Hibiki Ito Samuel Kaski Antti Honkela SyDa 90 11 0 28 May 2022
Statistical Data Privacy: A Song of Privacy and Utility Aleksandra B. Slavkovic Jeremy Seeman 42 27 0 06 May 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms Yuchao Tao Ryan McKenna Michael Hay Ashwin Machanavajjhala G. Miklau SyDa 102 87 0 16 Dec 2021
Relaxed Marginal Consistency for Differentially Private Query Answering Ryan McKenna Siddhant Pradhan Daniel Sheldon G. Miklau 88 11 0 13 Sep 2021
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data Ryan McKenna G. Miklau Daniel Sheldon SyDa 70 127 0 11 Aug 2021
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges Ninghui Li Zhikun Zhang Tianhao Wang 147 18 0 24 Jun 2021
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy Ryan McKenna G. Miklau Michael Hay Ashwin Machanavajjhala 63 20 0 23 Jun 2021
Interval Privacy: A Framework for Privacy-Preserving Data Collection Jie Ding Bangjun Ding 75 6 0 17 Jun 2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods Terrance Liu G. Vietri Zhiwei Steven Wu SyDa 70 64 0 14 Jun 2021
Rejoinder: Gaussian Differential Privacy Jinshuo Dong Aaron Roth Weijie J. Su 38 2 0 05 Apr 2021
Differentially Private Query Release Through Adaptive Projection Sergul Aydore William Brown Michael Kearns K. Kenthapadi Luca Melis Aaron Roth Ankit Siva 92 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 198 60 0 17 Feb 2021
PrivSyn: Differentially Private Data Synthesis Zhikun Zhang Tianhao Wang Ninghui Li Jean Honorio Michael Backes Shibo He Jiming Chen Yang Zhang SyDa 68 64 0 30 Dec 2020