Differentially Private Query Release Through Adaptive Projection

11 March 2021

Papers citing "Differentially Private Query Release Through Adaptive Projection"

50 / 54 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 1 0 10 Feb 2025
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives Lucas Rosenblatt Bill Howe Julia Stoyanovich 78 0 0 17 Dec 2024
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 Synthetic High-dimensional Tabular Stream Girish Kumar Thomas Strohmer Roman Vershynin 39 0 0 31 Aug 2024
Sharper Bounds for Chebyshev Moment Matching with Applications to Differential Privacy and Beyond Cameron Musco Christopher Musco Lucas Rosenblatt A. Singh FedML 47 1 0 22 Aug 2024
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey) K. Kenthapadi M. Sameki Ankur Taly HILM ELM AILaw 39 12 0 10 Jul 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
Sketches-based join size estimation under local differential privacy Meifan Zhang Xin Liu Lihua Yin 26 0 0 19 May 2024
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation Meenatchi Sundaram Muthu Selva Annamalai Georgi Ganev Emiliano De Cristofaro 37 9 0 16 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 34 0 0 02 May 2024
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data Miguel Fuentes Brett Mullins Ryan McKenna G. Miklau Daniel Sheldon 43 4 0 12 Mar 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 36 17 0 21 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 78 0 0 06 Feb 2024
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown Aadyaa Maddi Swadhin Routray Alexander Goldberg Giulia Fanti 31 0 0 31 Jan 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
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt Julia Stoyanovich Christopher Musco 30 2 0 18 Dec 2023
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation Vishal Ramesh Rui Zhao Naman Goel 32 1 0 30 Oct 2023
Private Synthetic Data Meets Ensemble Learning Haoyuan Sun Navid Azizan Akash Srivastava Hao Wang SyDa 16 1 0 15 Oct 2023
Partition-based differentially private synthetic data generation Meifan Zhang Dihang Deng Lihua Yin 16 0 0 10 Oct 2023
Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda J. Blumenstock Nitin Kohli 24 5 0 08 Oct 2023
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting Samuel Maddock Graham Cormode Carsten Maple 39 4 0 05 Oct 2023
CuTS: Customizable Tabular Synthetic Data Generation Mark Vero Mislav Balunović Martin Vechev 26 3 0 07 Jul 2023
SoK: Privacy-Preserving Data Synthesis Yuzheng Hu Fan Wu Yue Liu Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Bo-wen Li D. Song 60 25 0 05 Jul 2023
Turbo: Effective Caching in Differentially-Private Databases Kelly Kostopoulou Pierre Tholoniat Asaf Cidon Roxana Geambasu Mathias Lécuyer 22 1 0 28 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
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
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions Yingtai Xiao Guanlin He Danfeng Zhang Daniel Kifer 31 4 0 14 May 2023
Sensitivity estimation for differentially private query processing Meifan Zhang Xin Liu Lihua Yin 11 1 0 19 Apr 2023
PRIMO: Private Regression in Multiple Outcomes Seth Neel 23 0 0 07 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 96 167 0 01 Mar 2023
Pushing the Boundaries of Private, Large-Scale Query Answering Brendan Avent Aleksandra Korolova 26 0 0 09 Feb 2023
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data Meenatchi Sundaram Muthu Selva Annamalai Andrea Gadotti Luc Rocher MIACV 26 21 0 24 Jan 2023
PreFair: Privately Generating Justifiably Fair Synthetic Data David Pujol Amir Gilad Ashwin Machanavajjhala 25 7 0 20 Dec 2022
Answering Private Linear Queries Adaptively using the Common Mechanism Yingtai Xiao Guanhong Wang Danfeng Zhang Daniel Kifer 62 7 0 30 Nov 2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems Ana-Maria Cretu F. Houssiau Antoine Cully Yves-Alexandre de Montjoye AAML 13 10 0 09 Nov 2022
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
The Tensor Data Platform: Towards an AI-centric Database System Apurva Gandhi Yuki Asada Victor Fu Advitya Gemawat Lihao Zhang Rathijit Sen Carlo Curino Jesús Camacho-Rodríguez Matteo Interlandi 11 14 0 04 Nov 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 36 29 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 37 5 0 26 Aug 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
Private Synthetic Data with Hierarchical Structure Terrance Liu Zhiwei Steven Wu SyDa 21 3 0 13 Jun 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
Benchmarking Differentially Private Synthetic Data Generation Algorithms Yuchao Tao Ryan McKenna Michael Hay Ashwin Machanavajjhala G. Miklau SyDa 33 82 0 16 Dec 2021
Private sampling: a noiseless approach for generating differentially private synthetic data M. Boedihardjo Thomas Strohmer Roman Vershynin SyDa 29 14 0 30 Sep 2021
Relaxed Marginal Consistency for Differentially Private Query Answering Ryan McKenna Siddhant Pradhan Daniel Sheldon G. Miklau 31 11 0 13 Sep 2021