Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation.
Chris WaitesRachel CummingsPublished in: AIES (2021)
Keyphrases
- density estimation
- differentially private
- privacy preserving
- differential privacy
- privacy guarantees
- mixture model
- privacy preservation
- probability density function
- privacy preserving data mining
- private data
- probability density
- sensitive information
- private information
- outlier detection
- kernel density estimation
- gaussian mixture model
- privacy concerns
- sensitive data
- data privacy
- em algorithm
- privacy protection
- expectation maximization
- data sharing
- database
- high dimensional
- machine learning
- databases