On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. - James R. Foulds; Joseph Geumlek; Max Welling; Kamalika Chaudhuri (UAI, 2016)

Renyi Differential Privacy Mechanisms for Posterior Sampling. - Joseph Geumlek; Shuang Song 001; Kamalika Chaudhuri (NIPS, 2017)

Profile-based Privacy for Locally Private Computations. - Joseph Geumlek; Kamalika Chaudhuri (ISIT, 2019)

Privacy Amplification by Mixing and Diffusion Mechanisms. - Borja Balle; Gilles Barthe; Marco Gaboardi; Joseph Geumlek (NeurIPS, 2019)

Sampling from Distributions under Differential Privacy Notions. - Joseph Geumlek (2020)