Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives.
Alejandro Guerra-ManzanaresL. Julian Lechuga LopezMichail ManiatakosFarah E. ShamoutPublished in: TML4H (2023)
Keyphrases
- privacy preserving
- machine learning
- privacy preserving data mining
- privacy preservation
- challenges facing
- privacy issues
- vertically partitioned data
- multi party
- private information
- real world
- data privacy
- privacy concerns
- sensitive information
- privacy preserving association rule mining
- privacy sensitive
- decision trees
- horizontally partitioned
- private data
- preserving privacy
- naive bayesian classification
- differential privacy
- data publishing
- secure multiparty computation
- data mining
- privacy requirements
- horizontally partitioned data
- scalar product
- data perturbation
- feature selection
- support vector machine
- record linkage
- sensitive data
- databases
- privacy guarantees
- search engine
- privacy protection