Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels.
Keng-Pei LinPublished in: ICDM Workshops (2013)
Keyphrases
- privacy preserving
- kernel function
- privacy preserving association rule mining
- k means
- kernel methods
- kernel learning
- multiple kernel learning
- reproducing kernel hilbert space
- feature space
- data providers
- vertically partitioned data
- gaussian kernel
- support vector
- gaussian kernels
- privacy preserving data mining
- clustering algorithm
- multi party
- privacy preservation
- data privacy
- information systems
- dot product
- sensitive information
- scalar product
- privacy concerns
- privacy protection
- private information
- horizontally partitioned data
- service providers
- naive bayesian classification
- record linkage
- high dimensional
- kernel matrix
- data mining
- kernel principal component analysis
- support vector machine
- partitioned data
- privacy requirements
- privacy guarantees
- differential privacy
- kernel pca
- similarity function
- information sharing
- data perturbation
- private data
- privacy preserving classification
- original data
- secure multiparty computation
- privacy sensitive
- sensitive data