A secure and privacy-preserving word vector training scheme based on functional encryption with inner-product predicates.
Mingwu ZhangZhen-An LiPeiheng ZhangPublished in: Comput. Stand. Interfaces (2023)
Keyphrases
- privacy preserving
- horizontally partitioned data
- vertically partitioned data
- scalar product
- sensitive data
- secure multiparty computation
- multi party
- privacy preserving data mining
- key exchange
- homomorphic encryption
- key management
- security analysis
- privacy preservation
- data privacy
- encryption scheme
- encrypted data
- sensitive information
- key distribution
- private information
- data perturbation
- user privacy
- private data
- horizontally partitioned
- privacy preserving association rule mining
- private key
- dot product
- record linkage
- privacy concerns
- digital signature
- secure multi party computation
- authentication protocol
- privacy requirements
- data publishing
- differential privacy
- secret key
- naive bayesian classification
- privacy sensitive
- data mining