Privacy-preserving outsourcing scheme of face recognition based on locally linear embedding.
Yunting TaoYuqun LiFanyu KongYuliang ShiMing YangJia YuHanlin ZhangPublished in: Comput. Secur. (2024)
Keyphrases
- privacy preserving
- face recognition
- locally linear embedding
- horizontally partitioned data
- privacy preserving data mining
- neighborhood preserving embedding
- dimensionality reduction
- privacy preservation
- principal component analysis
- vertically partitioned data
- subspace learning
- data privacy
- low dimensional
- manifold learning
- sensitive information
- differential privacy
- private information
- discriminant analysis
- high dimensional data
- high dimensional
- privacy concerns
- sparse representation
- dimensional data
- privacy protection
- linear discriminant analysis
- multi dimensional
- principal components analysis