SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness

25 June 2020

Papers citing "SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness"

18 / 18 papers shown

Title
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 34 6 0 25 May 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 17 13 0 06 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 43 17 0 01 Mar 2023
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue Yuekai Sun Mikhail Yurochkin FaML 13 0 0 15 Jan 2023
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 24 9 0 29 Nov 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 33 7 0 15 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 25 5 0 01 Jun 2022
CertiFair: A Framework for Certified Global Fairness of Neural Networks Haitham Khedr Yasser Shoukry FedML 28 20 0 20 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 0 18 May 2022
Regulatory Instruments for Fair Personalized Pricing Renzhe Xu Xingxuan Zhang Pengbi Cui Yangqiu Song Zheyan Shen Jiazheng Xu 11 15 0 09 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 36 19 0 26 Nov 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 69 519 0 31 Aug 2021
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 26 96 0 19 Jun 2020
Auditing ML Models for Individual Bias and Unfairness Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 40 23 0 11 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016