Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy

Yingyu Lin, Yi-An Ma, Yu-Xiang Wang +2

Posterior sampling, i.e., exponential mechanism to sample from the posterior distribution, provides $\epsilon$-pure differential privacy (DP) guarantees and does not suffer from…