ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare.
Ali Burak ÜnalMete AkgünNico PfeiferPublished in: AAAI (2021)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning methods
- machine learning
- dot product
- learning problems
- statistical machine learning
- machine learning models
- random forests
- machine learning approaches
- feature space
- scalar product
- decision trees
- kernel function
- principal component analysis
- multiple features
- support vector