Journal article

Differential Privacy for Bayesian Inference through Posterior Sampling

Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin IP Rubinstein

Journal of Machine Learning Research | MICROTOME PUBL | Published : 2017

Grants

Awarded by Marie Curie Project "Efficient Sequential Decision Making Under Uncertainty"


Awarded by People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme under REA


Awarded by Australian Research Council


Funding Acknowledgements

We gratefully thank Aaron Roth, Kamalika Chaudhuri, and Matthias Bussas for their discussion and insights as well as the anonymous reviewers for their comments on the paper, which helped to improve it significantly. This work was partially supported by the Marie Curie Project "Efficient Sequential Decision Making Under Uncertainty", Grant Number 237816; the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement n 608743; the SNSF Project, "SwissSenseSynergia"; and the Australian Research Council (DE160100584).