Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval.
Praneeth VepakommaJulia BallaRamesh RaskarPublished in: CoRR (2021)
Keyphrases
- manifold learning
- differentially private
- image retrieval
- semi supervised
- differential privacy
- private data
- privacy preserving
- discriminant projection
- privacy guarantees
- dimensionality reduction
- low dimensional
- feature space
- high dimensional
- unsupervised learning
- nonlinear dimensionality reduction
- supervised learning
- image representation
- semi supervised learning
- high dimensional data
- dimension reduction
- statistical learning
- learning algorithm
- sparse representation
- visual features
- active learning
- pairwise
- feature extraction
- feature selection
- neighborhood preserving embedding
- high dimensionality
- labeled data
- privacy preservation
- locally linear embedding
- probabilistic model
- data privacy
- pattern recognition
- data mining