LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments.
Jorge M. Cortés-MendozaGleb I. RadchenkoAndrei TchernykhBernardo Pulido-GaytanMikhail G. BabenkoArutyun AvetisyanPascal BouvryAlbert Y. ZomayaPublished in: CCGRID (2021)
Keyphrases
- logistic regression
- privacy preserving
- horizontally partitioned data
- vertically partitioned data
- sensitive data
- privacy preserving classification
- decision trees
- logistic regression models
- privacy preserving data mining
- scalar product
- linear support vector machines
- support vector
- multi party
- privacy preservation
- secure multiparty computation
- privacy guarantees
- data privacy
- homomorphic encryption
- private information
- linear svm
- sensitive information
- horizontally partitioned
- loss function
- user privacy
- privacy concerns
- privacy sensitive