Privacy preservation for machine learning training and classification based on homomorphic encryption schemes.
Jing LiXiaohui KuangShujie LinXu MaYi TangPublished in: Inf. Sci. (2020)
Keyphrases
- machine learning
- privacy preservation
- privacy preserving
- encryption scheme
- decision trees
- pattern recognition
- data mining
- training set
- feature extraction
- feature selection
- data privacy
- standard model
- sensitive information
- image classification
- private information
- support vector machine
- high dimensional
- support vector
- information systems
- data quality
- data sets
- knowledge discovery
- similarity search
- data sharing
- sensitive data
- privacy preserving data mining
- ciphertext