Efficient Privacy-Preserving Matrix Factorization for Recommendation via Fully Homomorphic Encryption.
Jinsu KimDongyoung KooYuna KimHyunsoo YoonJunbum ShinSungwook KimPublished in: ACM Trans. Priv. Secur. (2018)
Keyphrases
- privacy preserving
- matrix factorization
- homomorphic encryption
- collaborative filtering
- recommender systems
- item recommendation
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- sensitive information
- privacy concerns
- multi party
- privacy protection
- data sharing
- missing data
- sensitive data
- data privacy
- private information
- scalar product
- encryption scheme
- principal component analysis