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Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy
19 May 2020
Bashir Rastegarpanah
M. Crovella
Krishna P. Gummadi
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Papers citing
"Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy"
5 / 5 papers shown
SoK: Data Minimization in Machine Learning
Robin Staab
Nikola Jovanović
Kimberly Mai
Prakhar Ganesh
Martin Vechev
Ferdinando Fioretto
Matthew Jagielski
178
1
0
14 Aug 2025
From Principle to Practice: Vertical Data Minimization for Machine Learning
Robin Staab
Nikola Jovanović
Mislav Balunović
Martin Vechev
362
9
0
17 Nov 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification
Leonard Berrada
Soham De
J. Shen
Jamie Hayes
Robert Stanforth
David Stutz
Pushmeet Kohli
Samuel L. Smith
Borja Balle
269
22
0
21 Aug 2023
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tobias Leemann
Martin Pawelczyk
Christian Thomas Eberle
Gjergji Kasneci
472
2
0
25 Oct 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
Jan Aalmoes
Vasisht Duddu
A. Boutet
184
10
0
04 Feb 2022
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