Differential Privacy Over Riemannian Manifolds.
Matthew ReimherrKarthik BharathCarlos SotoPublished in: NeurIPS (2021)
Keyphrases
- riemannian manifolds
- differential privacy
- differentially private
- euclidean space
- privacy preserving
- data sharing
- vector space
- geometric structure
- mean shift
- privacy preservation
- parameter space
- feature space
- manifold learning
- multi class classification
- covariance matrix
- covariance matrices
- dimensionality reduction
- data privacy
- privacy preserving data mining
- geodesic distance
- shape analysis
- personal information
- databases
- reproducing kernel hilbert space
- dimension reduction
- active learning
- probability distribution
- data mining