Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation.
Takahiro MaekawaAyana KawamuraTakayuki NakachiHitoshi KiyaPublished in: CoRR (2019)
Keyphrases
- privacy preserving
- support vector machine
- data transformation
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- multi party
- sensitive information
- data privacy
- horizontally partitioned data
- private information
- privacy concerns
- scalar product
- privacy protection
- naive bayesian classification
- privacy sensitive
- differential privacy
- sensitive data
- privacy issues
- data publishing
- data perturbation
- record linkage
- feature vectors
- privacy preserving association rule mining
- privacy requirements
- personal data
- secure multiparty computation
- partitioned data
- horizontally partitioned
- feature selection
- private data
- preserving privacy
- feature space