Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning

14 May 2020

Papers citing "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning"

5 / 5 papers shown

Title
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 34 37 0 06 Apr 2022
Modeling Implicit Bias with Fuzzy Cognitive Maps Gonzalo Nápoles Isel Grau Leonardo Concepción Lisa Koutsoviti Koumeri João Paulo Papa 16 26 0 23 Dec 2021
RobBERT: a Dutch RoBERTa-based Language Model Pieter Delobelle Thomas Winters Bettina Berendt 12 233 0 17 Jan 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 675 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016