ResearchTrend.AI
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems

Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems

Ehsan Toreini
M. Mehrnezhad
Aad van Moorsel
ArXivPDFHTML

Papers citing "Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems"

4 / 4 papers shown
Title
P2NIA: Privacy-Preserving Non-Iterative Auditing
P2NIA: Privacy-Preserving Non-Iterative Auditing
Jade Garcia Bourrée
H. Lautraite
Sébastien Gambs
Gilles Tredan
Erwan Le Merrer
Benoit Rottembourg
53
0
0
01 Apr 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Chhavi Yadav
Evan Monroe Laufer
Dan Boneh
Kamalika Chaudhuri
98
0
0
06 Feb 2025
FairProof : Confidential and Certifiable Fairness for Neural Networks
FairProof : Confidential and Certifiable Fairness for Neural Networks
Chhavi Yadav
A. Chowdhury
Dan Boneh
Kamalika Chaudhuri
MLAU
55
7
0
19 Feb 2024
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,092
0
24 Oct 2016