Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data.
Richard OsualaDaniel M. LangAnneliese RiessGeorgios KaissisZuzanna SzafranowskaGrzegorz SkorupkoOliver DíazJulia A. SchnabelKarim LekadirPublished in: CoRR (2024)
Keyphrases
- synthetic data
- privacy preserving
- cancer classification
- privacy requirements
- differential privacy
- gene selection
- microarray
- random forest
- gene expression data
- microarray data
- privacy preserving data mining
- privacy preservation
- data sets
- vertically partitioned data
- gene expression profiles
- feature selection
- real image data
- real world
- privacy protection
- private information
- sensitive data
- sensitive information
- data privacy
- gene expression
- experimental conditions
- scalar product
- privacy concerns
- data security
- data mining
- privacy sensitive
- horizontally partitioned data
- microarray datasets
- record linkage
- privacy preserving association rule mining
- synthetic datasets
- high dimensional
- clustering algorithm