Enhanced Fairness Testing via Generating Effective Initial Individual
Discriminatory Instances

Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances

17 September 2022

Max Hort

Papers citing "Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances"

6 / 6 papers shown

Title
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 80 171 0 14 Jul 2022
Bias in Machine Learning Software: Why? How? What to do? Joymallya Chakraborty Suvodeep Majumder Tim Menzies FaML 74 200 0 25 May 2021
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 119 18 0 17 Dec 2020
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 69 750 0 19 Jun 2019
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 122 3,938 0 06 Feb 2018
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 421 18,334 0 27 May 2016