Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies

12 October 2022

Papers citing "Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies"

6 / 6 papers shown

Title
Gaussian Differential Private Bootstrap by Subsampling Holger Dette Carina Graw 38 0 0 02 May 2025
Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent Holger Dette Carina Graw 25 0 0 21 May 2024
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation Gavin Brown Krishnamurthy Dvijotham Georgina Evans Daogao Liu Adam D. Smith Abhradeep Thakurta 39 3 0 21 Feb 2024
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) Xingyuan Zhao Fang Liu 30 0 0 20 Dec 2023
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$ -Differential Privacy Chendi Wang Buxin Su Jiayuan Ye Reza Shokri Weijie J. Su FedML 13 10 0 30 Oct 2023
Simulation-based, Finite-sample Inference for Privatized Data Jordan Awan Zhanyu Wang 33 7 0 09 Mar 2023