Regulation Games for Trustworthy Machine Learning

no code implementations • 5 Feb 2024 • Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot

Existing work on trustworthy machine learning (ML) often concentrates on individual aspects of trust, such as fairness or privacy.

Fairness Gender Classification

Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility

no code implementations • 17 Feb 2023 • Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot

Deploying machine learning (ML) models often requires both fairness and privacy guarantees.

Fairness Privacy Preserving