Optimized Data Pre-Processing for Discrimination Prevention

Optimized Data Pre-Processing for Discrimination Prevention

11 April 2017

Flavio du Pin Calmon

Karthikeyan N. Ramamurthy

Kush R. Varshney

ArXiv (abs)PDF HTML

Papers citing "Optimized Data Pre-Processing for Discrimination Prevention"

17 / 17 papers shown

Title
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization Mukur Gupta Nikhil Reddy Varimalla Nicholas Deas Melanie Subbiah Kathleen McKeown 51 0 0 06 Jun 2025
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 83 12 0 30 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 114 50 0 14 Jun 2023
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors Can Li Xiaoqian Jiang Kai Zhang MedIm 59 16 0 05 Apr 2023
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 82 41 0 10 Aug 2022
A Fair Pricing Model via Adversarial Learning Vincent Grari Arthur Charpentier Marcin Detyniecki 68 14 0 24 Feb 2022
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 92 111 0 25 Oct 2021
Learning Unbiased Representations via Rényi Minimization Vincent Grari Oualid El Hajouji Sylvain Lamprier Marcin Detyniecki FaML 60 21 0 07 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 57 23 0 30 Aug 2020
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 66 34 0 13 Nov 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 90 92 0 01 May 2019
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 87 180 0 11 Dec 2018
Active Fairness in Algorithmic Decision Making Alejandro Noriega-Campero Michiel A. Bakker Bernardo Garcia-Bulle Alex Pentland FaML 82 85 0 28 Sep 2018
On Discrimination Discovery and Removal in Ranked Data using Causal Graph Yongkai Wu Lu Zhang Xintao Wu FaML CML 41 47 0 05 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 388 685 0 17 Feb 2018
Provably Fair Representations D. McNamara Cheng Soon Ong Robert C. Williamson FaML 73 55 0 12 Oct 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 66 1,001 0 27 Mar 2017