Differential Privacy for Bayesian Inference through Posterior Sampling.
Christos DimitrakakisBlaine NelsonZuhe ZhangAikaterini MitrokotsaBenjamin I. P. RubinsteinPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- bayesian inference
- differential privacy
- markov chain monte carlo
- differentially private
- probabilistic model
- gibbs sampler
- privacy preserving
- private data
- hyperparameters
- prior information
- statistical inference
- posterior distribution
- privacy guarantees
- privacy preservation
- personal information
- data sharing
- data privacy
- gaussian process
- prior knowledge
- search logs
- data sets
- particle filter
- language model
- expectation propagation
- probability distribution
- information retrieval