AI RESEARCH
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
arXiv CS.LG
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ArXi:2309.01243v4 Announce Type: replace-cross We investigate the privacy of {\em any} algorithm whose outputs have Gaussian distribution. This work is motivated by the prevalence of such algorithms in several useful (ML) applications, and the comparatively little research that focuses on privacy-preserving learning outside of adding Gaussian noise to the data (such as DP