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Improved Differentially Private Regression via Gradient Boosting
6 March 2023
Shuai Tang
Sergul Aydore
Michael Kearns
Saeyoung Rho
Aaron Roth
Yichen Wang
Yu-Xiang Wang
Zhiwei Steven Wu
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Papers citing
"Improved Differentially Private Regression via Gradient Boosting"
4 / 4 papers shown
Title
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
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
Yun Lu
Malik Magdon-Ismail
Yu Wei
Vassilis Zikas
29
0
0
03 Sep 2023
Better Private Linear Regression Through Better Private Feature Selection
Travis Dick
Jennifer Gillenwater
Matthew Joseph
11
2
0
01 Jun 2023
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Shubhankar Mohapatra
Sajin Sasy
Xi He
Gautam Kamath
Om Thakkar
114
32
0
09 Nov 2021
1