Data Privacy and Trustworthy Machine Learning
Martin Strobel, Reza Shokri
Abstract
The privacy risks of machine learning models is a major concern when training them on sensitive and personal data. We discuss the tradeoffs between data privacy and the remaining goals of trustworthy machine learning (notably, fairness, robustness, and explainability).
Topics & Concepts
TrustworthinessComputer scienceRobustness (evolution)Information privacyInternet privacyComputer securityMachine learningArtificial intelligenceChemistryBiochemistryGenePrivacy-Preserving Technologies in DataAdversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education