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Easy Differentially Private Linear Regression
v1v2 (latest)

Easy Differentially Private Linear Regression

15 August 2022
Kareem Amin
Matthew Joseph
Mónica Ribero
Sergei Vassilvitskii
    FedML
ArXiv (abs)PDFHTML

Papers citing "Easy Differentially Private Linear Regression"

3 / 3 papers shown
Title
Computational Attestations of Polynomial Integrity Towards Verifiable Machine-Learning
Computational Attestations of Polynomial Integrity Towards Verifiable Machine-Learning
Dustin Ray
Caroline El Jazmi
7
0
0
13 Jun 2025
Analyzing the Differentially Private Theil-Sen Estimator for Simple
  Linear Regression
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
Jayshree Sarathy
Salil P. Vadhan
64
7
0
27 Jul 2022
Covariance-Aware Private Mean Estimation Without Private Covariance
  Estimation
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown
Marco Gaboardi
Adam D. Smith
Jonathan R. Ullman
Lydia Zakynthinou
FedML
97
50
0
24 Jun 2021
1