Gaussian Differential Privacy on Riemannian Manifolds.
Yangdi JiangXiaotian ChangYi LiuLei DingLinglong KongBei JiangPublished in: CoRR (2023)
Keyphrases
- riemannian manifolds
- differential privacy
- differentially private
- covariance matrices
- euclidean space
- privacy preserving
- covariance matrix
- mean shift
- vector space
- geometric structure
- privacy preservation
- data sharing
- multi class classification
- parameter space
- feature space
- gaussian mixture
- personal information
- gaussian distribution
- data privacy
- gaussian mixture model
- distance measure
- search logs
- manifold learning
- probability density function