Privacy-preserving Naive Bayes classifiers secure against the substitution-then-comparison attack.
Chong-zhi GaoQiong ChengPei HeWilly SusiloJin LiPublished in: Inf. Sci. (2018)
Keyphrases
- privacy preserving
- vertically partitioned data
- naive bayes classifier
- horizontally partitioned data
- scalar product
- secure multiparty computation
- sensitive data
- multi party
- privacy preservation
- privacy preserving data mining
- homomorphic encryption
- naive bayes
- user privacy
- data privacy
- private information
- horizontally partitioned
- privacy concerns
- differential privacy
- sensitive information
- privacy issues
- machine learning
- authentication protocol
- privacy guarantees
- privacy protection
- text classification
- semi honest
- active learning
- decision trees