Differentially Private Fair Binary Classifications

arXiv:2402.15603v1 Announce Type: cross
Abstract: In this work, we investigate binary classification under the constraints of both differential privacy and fairness. We first propose an algorithm based on the decoupling technique for learning a classifier with only fairness guarantee. This algorithm takes in classifiers trained on different demographic groups and generates a single classifier satisfying statistical parity. We then refine this algorithm to incorporate differential privacy. The performance of the final algorithm is rigorously examined in terms of privacy, fairness, …

algorithm arxiv binary classification constraints cs.cr cs.it cs.lg differential privacy fair fairness guarantee math.it privacy private single stat.ml under work