VEPP: A Verifiable, Highly Efficient and Privacy-Preserving Protocol for Outsourcing Large Matrix Multiplication.
Liang HuiXiaolei DongJiachen ShenZhenfu CaoHongyuan ChenYunong LiangPublished in: SSIC (2018)
Keyphrases
- highly efficient
- privacy preserving
- matrix multiplication
- vertically partitioned data
- secure multiparty computation
- scalar product
- homomorphic encryption
- multi party
- horizontally partitioned data
- message passing
- privacy preserving data mining
- privacy preservation
- data providers
- low cost
- user privacy
- data privacy
- low complexity
- semi honest
- distributed memory
- privacy concerns
- service providers
- sensitive information
- sensitive data
- privacy preserving association rule mining
- privacy sensitive
- privacy issues
- fair exchange
- data perturbation
- privacy guarantees
- differential privacy
- privacy protection
- preserving privacy
- matrix factorization
- decision trees
- distributed systems
- data structure