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FaiR-N: Fair and Robust Neural Networks for Structured Data

FaiR-N: Fair and Robust Neural Networks for Structured Data

13 October 2020
Shubham Sharma
Alan H. Gee
D. Paydarfar
Joydeep Ghosh
ArXivPDFHTML

Papers citing "FaiR-N: Fair and Robust Neural Networks for Structured Data"

14 / 14 papers shown
Title
Characterizing the Decision Boundary of Deep Neural Networks
Characterizing the Decision Boundary of Deep Neural Networks
Hamid Karimi
Hanyu Wang
Jiliang Tang
44
67
0
24 Dec 2019
Imperceptible Adversarial Attacks on Tabular Data
Imperceptible Adversarial Attacks on Tabular Data
Vincent Ballet
X. Renard
Jonathan Aigrain
Thibault Laugel
P. Frossard
Marcin Detyniecki
68
73
0
08 Nov 2019
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
562
4,339
0
23 Aug 2019
Investigating Decision Boundaries of Trained Neural Networks
Investigating Decision Boundaries of Trained Neural Networks
Roozbeh Yousefzadeh
D. O’Leary
AAML
35
22
0
07 Aug 2019
Fairness for Robust Log Loss Classification
Fairness for Robust Log Loss Classification
Ashkan Rezaei
Rizal Fathony
Omid Memarrast
Brian Ziebart
FaML
58
8
0
10 Mar 2019
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and
  Mitigating Unwanted Algorithmic Bias
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy
Kuntal Dey
Michael Hind
Samuel C. Hoffman
Stephanie Houde
...
Diptikalyan Saha
P. Sattigeri
Moninder Singh
Kush R. Varshney
Yunfeng Zhang
FaML
SyDa
96
806
0
03 Oct 2018
Actionable Recourse in Linear Classification
Actionable Recourse in Linear Classification
Berk Ustun
Alexander Spangher
Yang Liu
FaML
111
549
0
18 Sep 2018
The Social Cost of Strategic Classification
The Social Cost of Strategic Classification
S. Milli
John Miller
Anca Dragan
Moritz Hardt
47
181
0
25 Aug 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable
  Guarantees
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
205
308
0
15 Jun 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
56
284
0
15 Mar 2018
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
224
1,100
0
06 Mar 2018
Mitigating Unwanted Biases with Adversarial Learning
Mitigating Unwanted Biases with Adversarial Learning
B. Zhang
Blake Lemoine
Margaret Mitchell
FaML
197
1,385
0
22 Jan 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
107
2,352
0
01 Nov 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning
  Classification without Disparate Mistreatment
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
196
1,205
0
26 Oct 2016
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