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2312.11712
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A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy
18 December 2023
Lucas Rosenblatt
Julia Stoyanovich
Christopher Musco
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Papers citing
"A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy"
5 / 5 papers shown
Title
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
31
0
0
03 Oct 2024
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
Thomas Steinke
Jonathan R. Ullman
50
39
0
08 Nov 2021
Private sampling: a noiseless approach for generating differentially private synthetic data
M. Boedihardjo
Thomas Strohmer
Roman Vershynin
SyDa
27
14
0
30 Sep 2021
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
37
57
0
23 Sep 2021
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
37
75
0
18 Feb 2021
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