Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2009.06389
Cited By
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy
10 September 2020
Tom Farrand
Fatemehsadat Mireshghallah
Sahib Singh
Andrew Trask
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy"
11 / 11 papers shown
Title
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
39
0
0
03 Oct 2024
On the Fairness Impacts of Private Ensembles Models
Cuong Tran
Ferdinando Fioretto
39
4
0
19 May 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility
Mohammad Yaghini
Patty Liu
Franziska Boenisch
Nicolas Papernot
FedML
FaML
17
8
0
17 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
37
17
0
03 Feb 2023
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
Seongmin Lee
Zijie J. Wang
Judy Hoffman
Duen Horng Chau
24
11
0
12 Apr 2022
Exploring the Unfairness of DP-SGD Across Settings
Frederik Noe
R. Herskind
Anders Søgaard
17
4
0
24 Feb 2022
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Ferdinando Fioretto
Cuong Tran
Pascal Van Hentenryck
Keyu Zhu
FaML
24
60
0
16 Feb 2022
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
A Fairness Analysis on Private Aggregation of Teacher Ensembles
Cuong Tran
M. H. Dinh
Kyle Beiter
Ferdinando Fioretto
21
12
0
17 Sep 2021
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah
Huseyin A. Inan
Marcello Hasegawa
Victor Rühle
Taylor Berg-Kirkpatrick
Robert Sim
16
39
0
12 Mar 2021
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
1