Engineering Privacy-Preserving Machine Learning Protocols.
Thomas SchneiderPublished in: PPMLP@CCS (2020)
Keyphrases
- privacy preserving
- machine learning
- secure multiparty computation
- horizontally partitioned data
- multi party
- privacy preserving data mining
- homomorphic encryption
- vertically partitioned data
- privacy preservation
- sensitive information
- private information
- privacy concerns
- secure multi party computation
- privacy guarantees
- data privacy
- record linkage
- data perturbation
- partitioned data
- scalar product
- decision trees
- preserving privacy
- personal data
- private data
- privacy sensitive
- support vector machine
- feature selection
- data mining
- knowledge discovery
- privacy issues
- sensitive data
- privacy protection
- privacy requirements
- security protocols
- differential privacy
- privacy preserving association rule mining