Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach

17 August 2022

Papers citing "Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach"

4 / 4 papers shown

Title
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 26 5 0 22 Dec 2023
Disentangling and Operationalizing AI Fairness at LinkedIn Joaquin Quiñonero Candela Yuwen Wu Brian Hsu Sakshi Jain Jennifer Ramos Jon Adams R. Hallman Kinjal Basu 21 9 0 30 May 2023
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning Marc Juárez Aleksandra Korolova FedML 32 9 0 24 Jun 2022
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 45 137 0 07 Feb 2016