Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU.
Tianxiang DaiLi DuanYufan JiangYong LiFei MeiYulian SunPublished in: NordSec (2023)
Keyphrases
- highly efficient
- privacy preserving
- machine learning
- multi party
- vertically partitioned data
- privacy preserving data mining
- privacy preservation
- privacy preserving association rule mining
- real time
- low cost
- scalar product
- horizontally partitioned data
- privacy sensitive
- privacy protection
- data privacy
- secure multi party computation
- sensitive data
- private information
- sensitive information
- data publishing
- data mining
- privacy concerns
- decision trees
- horizontally partitioned
- private data
- data perturbation
- homomorphic encryption
- preserving privacy
- sat solvers
- information retrieval systems
- semi honest
- secure multiparty computation
- user privacy
- information retrieval
- record linkage