A novel privacy-preserving graph convolutional network via secure matrix multiplication.
Haifeng ZhangFeng ZhangHuan WangChuang MaPeican ZhuPublished in: Inf. Sci. (2024)
Keyphrases
- privacy preserving
- vertically partitioned data
- matrix multiplication
- scalar product
- secure multiparty computation
- horizontally partitioned data
- sensitive data
- multi party
- convolutional network
- homomorphic encryption
- privacy preservation
- user privacy
- privacy preserving data mining
- convolutional neural networks
- privacy concerns
- sensitive information
- horizontally partitioned
- data privacy
- privacy guarantees
- privacy protection
- private information
- privacy preserving association rule mining
- message passing
- distributed memory
- preserving privacy
- data perturbation
- privacy sensitive
- differential privacy
- matrix factorization
- probabilistic model
- feature extractor
- privacy issues
- coarse to fine