Causality-Aided Trade-off Analysis for Machine Learning Fairness

22 May 2023

Papers citing "Causality-Aided Trade-off Analysis for Machine Learning Fairness"

7 / 7 papers shown

Title
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li J. Zhang Federica Sarro Yang Liu FaML 70 2 0 11 Dec 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version) Pingchuan Ma Rui Ding Qiang Fu Jiaru Zhang Shuai Wang Shi Han Dongmei Zhang CML 32 2 0 15 Jun 2024
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version) Pingchuan Ma Zhenlan Ji Peisen Yao Shuai Wang Kui Ren 15 2 0 11 Sep 2023
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process Anna Glazkova Zongjie Li Michael Kadantsev Maksim Glazkov KELM 22 14 0 04 May 2023
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 21 18 0 18 Sep 2022
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Kewen Peng Joymallya Chakraborty Tim Menzies FaML 32 27 0 03 Oct 2021
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 109 195 0 05 May 2021