Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression

27 July 2022

Papers citing "Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression"

7 / 7 papers shown

Title
Tukey Depth Mechanisms for Practical Private Mean Estimation Gavin Brown Lydia Zakynthinou 34 0 0 25 Feb 2025
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 34 3 0 21 Feb 2024
An Algorithm for Streaming Differentially Private Data Girish Kumar Thomas Strohmer Roman Vershynin 37 2 0 26 Jan 2024
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model Liyang Zhu Meng Ding Vaneet Aggarwal Jinhui Xu Di Wang 16 4 0 11 Oct 2023
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning Yun Lu Malik Magdon-Ismail Yu Wei Vassilis Zikas 19 0 0 03 Sep 2023
Differential Privacy for Government Agencies -- Are We There Yet? Joerg Drechsler 21 20 0 17 Feb 2021
Differentially Private Bayesian Inference for Exponential Families G. Bernstein Daniel Sheldon 26 48 0 06 Sep 2018