Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.
Dmitrii UsyninAlexander ZillerMarcus R. MakowskiRickmer BrarenDaniel RueckertBen GlockerGeorgios KaissisJonathan Passerat-PalmbachPublished in: Nat. Mach. Intell. (2021)
Keyphrases
- personal data
- privacy preserving
- machine learning
- privacy protection
- data privacy
- privacy preserving data mining
- privacy concerns
- sensitive information
- vertically partitioned data
- privacy preservation
- multi party
- data transformation
- sensitive data
- privacy preserving association rule mining
- private information
- private data
- partitioned data
- data mining
- differential privacy
- naive bayesian classification
- support vector machine
- data perturbation
- decision trees
- horizontally partitioned data
- horizontally partitioned
- feature selection
- secure multiparty computation
- privacy preserving classification
- privacy requirements
- record linkage
- privacy issues
- preserving privacy
- data publishing
- privacy sensitive
- data sets