Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology.
Soroosh Tayebi ArastehAlexander ZillerChristiane KuhlMarcus R. MakowskiSven NebelungRickmer BrarenDaniel RueckertDaniel TruhnGeorgios KaissisPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- private data
- privacy preserving data mining
- vertically partitioned data
- private information
- privacy preservation
- privacy sensitive
- multi party
- naive bayesian classification
- homomorphic encryption
- sensitive information
- data privacy
- real world
- data publishing
- medical images
- sensitive data
- privacy protection
- record linkage
- privacy preserving association rule mining
- partitioned data
- preserving privacy
- privacy concerns
- differentially private
- data perturbation
- privacy issues
- secure multiparty computation
- differential privacy
- horizontally partitioned
- data mining
- databases
- personal data