#machine learning
Jun 2026
Differential Privacy of Gaussian Process Posterior Sampling
This work derives Renyi-DP guarantees separating privacy leakage through the posterior mean from a distinct channel induced by the data-dependent posterior covariance, and identifies effective ridge regularisation and covariance scale as the principal privacy-controlling quantities.
Tomasz Maciazek
· arXiv.org · 0 citations