Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation.
Chris WaitesRachel CummingsPublished in: CoRR (2021)
Keyphrases
- density estimation
- differentially private
- privacy preserving
- differential privacy
- privacy preserving data mining
- privacy guarantees
- mixture model
- privacy preservation
- private data
- probability density
- probability density function
- outlier detection
- data privacy
- private information
- privacy concerns
- privacy protection
- sensitive information
- gaussian mixture model
- em algorithm
- kernel density estimation
- sensitive data
- expectation maximization
- probability distribution
- dimensionality reduction
- web search