Exploring the Impact of Homomorphic Encryption on the Performance of Machine Learning Algorithms.
Clayton MatiasNaghmeh IvakiRegina MoraesPublished in: LADC (2023)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- homomorphic encryption
- machine learning
- decision trees
- machine learning methods
- learning problems
- privacy preserving
- random forests
- machine learning approaches
- machine learning models
- data sharing
- databases
- high dimensional
- learning models
- digital libraries
- standard machine learning algorithms