Achieving Privacy-Preserving Outsourced SVM Training with Non-Linear Kernel.
Yuandong XieJingcheng ZhaoBin ZhuJia LiRuidong LiKaiping XuePublished in: GLOBECOM (2023)
Keyphrases
- privacy preserving
- svm training
- kernel methods
- generalization ability
- svm classification
- support vector machine
- kernel function
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- support vectors
- third party
- kernel matrix
- support vector
- private information
- sensitive information
- feature space
- privacy protection
- privacy concerns
- service providers
- sensitive data
- decomposition method
- data privacy
- imbalanced data
- stochastic gradient descent
- support vector machine svm
- training procedure
- learning problems
- machine learning
- privacy sensitive
- bp neural network
- training samples
- differential privacy
- knn
- scalar product