AFCP

Publications

2022

Andrew Lowy, Devansh Gupta, Meisam Razaviyayn
Stochastic Differentially Private and Fair Learning. AFCP (2022)
Rina Friedberg, Ryan Rogers
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach. AFCP (2022)
Ruta Binkyte, Karima Makhlouf, Carlos Pinzón, Sami Zhioua, Catuscia Palamidessi
Causal Discovery for Fairness. AFCP (2022)
Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. AFCP (2022)
Marc Juarez, Aleksandra Korolova
“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning. AFCP (2022)

volume 214, 2022

Algorithmic Fairness through the Lens of Causality and Privacy Workshop, AFCP 2022, New Orleans, LA, USA (hybrid), 03 December 2022 AFCP 214 (2022)