Learning with impartiality to walk on the pareto frontier of fairness, privacy, and utility

M Yaghini, P Liu, F Boenisch, N Papernot - arXiv preprint arXiv …, 2023 - arxiv.org
Deploying machine learning (ML) models often requires both fairness and privacy
guarantees. Both of these objectives present unique trade-offs with the utility (eg, accuracy) …
被引用次数：3 相关文章

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

M Yaghini, P Liu, F Boenisch, N Papernot - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Deploying machine learning (ML) models often requires both fairness and privacy
guarantees. Both of these objectives present unique trade-offs with the utility (eg, accuracy) …