Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning.
Reza NasirigerdehJavad TorkzadehmahaniDaniel RueckertGeorgios KaissisPublished in: CoRR (2022)
Keyphrases
- privacy preserving
- machine learning
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- kernel methods
- privacy sensitive
- data privacy
- horizontally partitioned data
- kernel function
- multi party
- data mining
- record linkage
- private information
- sensitive information
- social networks
- horizontally partitioned
- partitioned data
- secure multiparty computation
- preserving privacy
- privacy requirements
- privacy guarantees
- support vector
- private data
- differential privacy
- data perturbation
- feature selection
- support vector machine
- privacy preserving association rule mining
- naive bayesian classification
- data sets
- privacy preserving data mining algorithms
- privacy preserving classification
- decision trees
- personal data
- feature space
- privacy concerns