Private Synthetic Data for Multitask Learning and Marginal Queries

15 September 2022

Papers citing "Private Synthetic Data for Multitask Learning and Marginal Queries"

22 / 22 papers shown

Title
Benchmarking Differentially Private Tabular Data Synthesis Kai Chen Xiaochen Li Chen Gong Ryan McKenna Tianhao Wang 28 0 0 18 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 24 2 0 09 Apr 2025
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? Marika Swanberg Ryan McKenna Edo Roth Albert Cheu Peter Kairouz 70 0 0 10 Feb 2025
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training Kristjan Greenewald Yuancheng Yu Hao Wang Kai Xu 36 0 0 25 Oct 2024
Privacy Vulnerabilities in Marginals-based Synthetic Data Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 26 3 0 07 Oct 2024
Efficient and Private Marginal Reconstruction with Local Non-Negativity Brett Mullins Miguel Fuentes Yingtai Xiao Daniel Kifer Cameron Musco Daniel Sheldon 21 1 0 01 Oct 2024
Differentially Private Tabular Data Synthesis using Large Language Models Toan V. Tran Li Xiong SyDa 38 6 0 03 Jun 2024
Private Regression via Data-Dependent Sufficient Statistic Perturbation Cecilia Ferrando Daniel Sheldon 50 0 0 23 May 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 34 17 0 21 Feb 2024
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources Sikha Pentyala Mayana Pereira Martine De Cock 29 1 0 13 Feb 2024
Online Differentially Private Synthetic Data Generation Yiyun He Roman Vershynin Yizhe Zhu SyDa 28 2 0 12 Feb 2024
Privacy-preserving data release leveraging optimal transport and particle gradient descent Konstantin Donhauser Javier Abad Neha Hulkund Fanny Yang 41 4 0 31 Jan 2024
Private Synthetic Data Meets Ensemble Learning Haoyuan Sun Navid Azizan Akash Srivastava Hao Wang SyDa 16 1 0 15 Oct 2023
CuTS: Customizable Tabular Synthetic Data Generation Mark Vero Mislav Balunović Martin Vechev 26 3 0 07 Jul 2023
On the Usefulness of Synthetic Tabular Data Generation Dionysis Manousakas Sergul Aydore 24 8 0 27 Jun 2023
Generating Private Synthetic Data with Genetic Algorithms Terrance Liu Jin-Lin Tang G. Vietri Zhiwei Steven Wu SyDa 19 16 0 05 Jun 2023
Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets Yiyun He Thomas Strohmer Roman Vershynin Yizhe Zhu SyDa 31 1 0 26 May 2023
Post-processing Private Synthetic Data for Improving Utility on Selected Measures Hao Wang Shivchander Sudalairaj J. Henning Kristjan Greenewald Akash Srivastava 30 6 0 24 May 2023
Algorithmically Effective Differentially Private Synthetic Data Yi He Roman Vershynin Yizhe Zhu SyDa 24 8 0 11 Feb 2023
Pushing the Boundaries of Private, Large-Scale Query Answering Brendan Avent Aleksandra Korolova 26 0 0 09 Feb 2023
Confidence-Ranked Reconstruction of Census Microdata from Published Statistics Travis Dick Cynthia Dwork Michael Kearns Terrance Liu Aaron Roth G. Vietri Zhiwei Steven Wu 24 29 0 06 Nov 2022
Private Post-GAN Boosting Marcel Neunhoeffer Zhiwei Steven Wu Cynthia Dwork 116 29 0 23 Jul 2020