The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy.
T. Tony CaiYichen WangLinjun ZhangPublished in: CoRR (2019)
Keyphrases
- parameter estimation
- differential privacy
- differentially private
- rates of convergence
- private data
- privacy preserving
- expectation maximization
- privacy guarantees
- maximum likelihood
- least squares
- em algorithm
- markov random field
- privacy preservation
- data sharing
- model selection
- parameter values
- personal information
- anonymized data
- data privacy
- sensitive information
- private information
- privacy protection
- generative model
- privacy concerns
- data quality
- closed form
- dimensionality reduction
- higher order
- support vector
- data mining