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

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

13 October 2020

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 Hamid Karimi Hanyu Wang Jiliang Tang 41 67 0 24 Dec 2019
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 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 Roozbeh Yousefzadeh D. O’Leary AAML 35 22 0 07 Aug 2019
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 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 Berk Ustun Alexander Spangher Yang Liu FaML 111 549 0 18 Sep 2018
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 L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 205 308 0 15 Jun 2018
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 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 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 Sandra Wachter Brent Mittelstadt Chris Russell MLAU 104 2,352 0 01 Nov 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 193 1,205 0 26 Oct 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.