Privacy-preserving machine learning for healthcare: open challenges and future perspectives.
Alejandro Guerra-ManzanaresL. Julian Lechuga LopezMichail ManiatakosFarah E. ShamoutPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- machine learning
- privacy preservation
- privacy preserving data mining
- privacy issues
- vertically partitioned data
- multi party
- challenges facing
- privacy concerns
- private information
- data privacy
- differential privacy
- real world
- sensitive information
- information systems
- privacy sensitive
- preserving privacy
- sensitive data
- partitioned data
- record linkage
- horizontally partitioned data
- privacy protection
- private data
- databases
- scalar product
- secure multiparty computation
- knowledge discovery
- naive bayesian classification
- privacy preserving association rule mining
- data publishing
- privacy guarantees
- privacy requirements
- data analysis
- privacy preserving classification
- horizontally partitioned
- support vector machine