Fully Homomorphic Privacy-Preserving Naive Bayes Machine Learning and Classification.
Boyoung HanYeonghyeon KimJina ChoiHojune ShinYounho LeePublished in: WAHC@CCS (2023)
Keyphrases
- privacy preserving
- naive bayes
- decision trees
- text classification
- machine learning
- classification accuracy
- naive bayesian classification
- privacy preserving classification
- classification algorithm
- naive bayes classifier
- feature selection
- naive bayesian classifier
- privacy preserving data mining
- logistic regression
- text categorization
- text classifiers
- machine learning algorithms
- vertically partitioned data
- probabilistic classifiers
- cost sensitive
- privacy preservation
- training data
- bayesian classifier
- bayesian network classifiers
- augmented naive bayes
- training set
- machine learning methods
- support vector machine
- data privacy
- support vector
- text mining
- feature vectors
- data sets
- unsupervised learning
- model selection
- feature space
- secure multiparty computation
- averaged one dependence estimators
- information retrieval
- feature set
- supervised learning
- conditional independence assumption