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When Fair Classification Meets Noisy Protected Attributes

When Fair Classification Meets Noisy Protected Attributes

6 July 2023
Avijit Ghosh
Pablo Kvitca
Chris L. Wilson
    FaML
ArXivPDFHTML

Papers citing "When Fair Classification Meets Noisy Protected Attributes"

8 / 8 papers shown
Title
Subverting Fair Image Search with Generative Adversarial Perturbations
Subverting Fair Image Search with Generative Adversarial Perturbations
A. Ghosh
Matthew Jagielski
Chris L. Wilson
33
7
0
05 May 2022
When Fair Ranking Meets Uncertain Inference
When Fair Ranking Meets Uncertain Inference
Avijit Ghosh
Ritam Dutt
Christo Wilson
66
44
0
05 May 2021
Learning Optimal and Fair Decision Trees for Non-Discriminative
  Decision-Making
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
S. Aghaei
Javad Azizi
P. Vayanos
FaML
25
177
0
25 Mar 2019
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
126
1,094
0
06 Mar 2018
A comparative study of fairness-enhancing interventions in machine
  learning
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
FaML
88
639
0
13 Feb 2018
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
112
5,920
0
04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
551
16,828
0
16 Feb 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
127
1,978
0
11 Dec 2014
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