Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings.
Mihai DusmanuJohannes L. SchönbergerSudipta N. SinhaMarc PollefeysPublished in: CVPR (2021)
Keyphrases
- privacy preserving
- image features
- low dimensional
- dimensionality reduction
- high dimensional data
- privacy preserving data mining
- vertically partitioned data
- high dimensional
- multi party
- feature space
- privacy preservation
- principal component analysis
- private information
- privacy protection
- feature vectors
- privacy sensitive
- data perturbation
- feature extraction
- data privacy
- privacy concerns
- record linkage
- privacy preserving association rule mining
- secure multiparty computation
- horizontally partitioned data
- sensitive information
- differential privacy
- horizontally partitioned
- sensitive data
- private data
- data publishing
- preserving privacy
- euclidean space
- dimension reduction
- input data
- data points
- privacy guarantees
- user privacy
- privacy issues
- scalar product
- partitioned data
- distance measure