Rakshit Naidu

Privacy Cost as Equity Input: A Group Fairness Criterion for Differentially Private Machine Learning

This work argues that privacy cost, the information leakage borne by each group, is itself a form of harm, and adopts a compensatory-fairness framework in which a group that involuntarily bears greater privacy exposure is owed proportionally greater benefit from the system.