cs.CR, cs.LG, math.ST, stat.TH

Differentially Private Manifold Denoising

arXiv:2604.00942v1 Announce Type: new
Abstract: We introduce a differentially private manifold denoising framework that allows users to exploit sensitive reference datasets to correct noisy, non-private query points without compromising privacy. The m…