FairDP: Certified Fairness with Differential Privacy. (arXiv:2305.16474v1 [cs.LG])

This paper introduces FairDP, a novel mechanism designed to simultaneously
ensure differential privacy (DP) and fairness. FairDP operates by independently
training models for distinct individual groups, using group-specific clipping
terms to assess and bound the disparate impacts of DP. Throughout the training
process, the mechanism progressively integrates knowledge from group models to
formulate a comprehensive model that balances privacy, utility, and fairness in
downstream tasks. Extensive theoretical and empirical analyses validate the
efficacy of FairDP, demonstrating improved trade-offs between model …

certified differential privacy fairness knowledge novel privacy process terms training