More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication.
Wenjie LuJun SakumaPublished in: WAHC@CCS (2018)
Keyphrases
- privacy preserving
- vertically partitioned data
- machine learning
- scalar product
- multi party
- secure multiparty computation
- sensitive data
- secure multi party computation
- privacy preserving data mining
- horizontally partitioned data
- homomorphic encryption
- matrix multiplication
- privacy preservation
- privacy preserving data mining algorithms
- preserving privacy
- user privacy
- private data
- privacy protection
- data privacy
- privacy preserving association rule mining
- data perturbation
- privacy concerns
- private information
- sensitive information
- horizontally partitioned
- data mining
- privacy issues
- privacy sensitive
- record linkage
- message passing
- naive bayesian classification
- privacy requirements
- distributed systems
- differential privacy