Evaluation of Synthetic Data for Privacy-Preserving Machine Learning.
Markus HittmeirAndreas EkelhartRudolf MayerPublished in: ERCIM News (2020)
Keyphrases
- synthetic data
- privacy preserving
- machine learning
- privacy preservation
- privacy preserving data mining
- vertically partitioned data
- real world
- private data
- data privacy
- data sets
- privacy preserving association rule mining
- private information
- sensitive information
- multi party
- sensitive data
- secure multiparty computation
- data mining
- real image data
- preserving privacy
- privacy protection
- data publishing
- partitioned data
- scalar product
- privacy guarantees
- feature selection
- record linkage
- privacy concerns
- privacy issues
- data perturbation
- differential privacy
- data mining applications
- synthetic datasets
- naive bayesian classification
- privacy sensitive
- database
- horizontally partitioned data