Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning.
Lijing ZhouZiyu WangHongrui CuiQingrui SongYu YuPublished in: IACR Cryptol. ePrint Arch. (2022)
Keyphrases
- privacy preserving
- secure multi party computation
- vertically partitioned data
- machine learning
- preprocessing
- scalar product
- secure multiparty computation
- horizontally partitioned data
- sensitive data
- multi party
- homomorphic encryption
- privacy preserving data mining
- privacy preservation
- partitioned data
- horizontally partitioned
- user privacy
- privacy preserving association rule mining
- data privacy
- differential privacy
- data mining
- sensitive information
- naive bayesian classification
- privacy guarantees
- privacy concerns
- privacy sensitive
- privacy issues
- record linkage
- preserving privacy
- privacy protection
- private information
- private data
- privacy requirements
- privacy preserving classification
- semi honest
- feature extraction
- data sharing
- feature selection
- dimensionality reduction
- peer to peer
- data publishing