Efficient and Privacy-Preserving Logistic Regression Scheme based on Leveled Fully Homomorphic Encryption.
Chengjin LiuZoe Lin JiangXin ZhaoQian ChenJunbin FangDaojing HeJun ZhangXuan WangPublished in: INFOCOM Workshops (2022)
Keyphrases
- privacy preserving
- logistic regression
- homomorphic encryption
- privacy preserving data mining
- support vector
- sensitive information
- data sharing
- privacy concerns
- decision trees
- vertically partitioned data
- private information
- multi party
- loss function
- naive bayes
- privacy protection
- data privacy
- database
- text categorization
- training data