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Automated discovery of trade-off between utility, privacy and fairness
  in machine learning models

Automated discovery of trade-off between utility, privacy and fairness in machine learning models

27 November 2023
Bogdan Ficiu
Neil D. Lawrence
Andrei Paleyes
ArXivPDFHTML

Papers citing "Automated discovery of trade-off between utility, privacy and fairness in machine learning models"

3 / 3 papers shown
Title
On the Impact of Multi-dimensional Local Differential Privacy on
  Fairness
On the Impact of Multi-dimensional Local Differential Privacy on Fairness
K. Makhlouf
Héber H. Arcolezi
Sami Zhioua
G. B. Brahim
C. Palamidessi
14
5
0
07 Dec 2023
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
144
348
0
25 Sep 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
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