K-Anonymous Privacy Preserving Manifold Learning.
Sonakshi GargVicenç TorraPublished in: SECRYPT (2023)
Keyphrases
- manifold learning
- privacy preserving
- privacy preservation
- privacy preserving data mining
- low dimensional
- vertically partitioned data
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- feature extraction
- dimension reduction
- high dimensional
- privacy sensitive
- high dimensional data
- data privacy
- sensitive information
- private information
- pattern recognition
- scalar product
- privacy concerns
- feature space
- data analysis
- privacy protection
- nearest neighbor
- data publishing
- differential privacy
- pairwise
- sensitive data
- principal component analysis
- shortest path
- sparse representation