A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption.
Luis Bernardo Pulido-GaytanAndrei TchernykhJorge M. Cortés-MendozaMikhail G. BabenkoGleb I. RadchenkoPublished in: CARLA (2020)
Keyphrases
- privacy preserving
- homomorphic encryption
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- sensitive information
- data privacy
- multi party
- differential privacy
- private information
- privacy protection
- privacy concerns
- sensitive data
- data analysis
- data sharing
- data mining
- public key
- decision trees
- database management systems
- image compression
- low cost
- databases
- scalar product
- secure multi party computation