Privacy Preserving Feature Selection for Sparse Linear Regression.
Adi AkaviaBen GaliliHayim ShaulMor WeissZohar YakhiniPublished in: IACR Cryptol. ePrint Arch. (2023)
Keyphrases
- privacy preserving
- linear regression
- feature selection
- generalized linear models
- least squares
- privacy preserving data mining
- vertically partitioned data
- sensitive information
- high dimensional
- regression methods
- privacy protection
- privacy preservation
- privacy concerns
- text categorization
- multi party
- private information
- nonlinear regression
- data privacy
- private data
- high dimensionality
- scalar product
- text classification
- feature space
- sparse data
- knn
- data perturbation
- preserving privacy
- horizontally partitioned data
- privacy preserving association rule mining
- privacy sensitive
- horizontally partitioned
- support vector machine
- privacy requirements
- feature set
- differential privacy
- privacy guarantees
- dimensionality reduction
- dimension reduction
- partitioned data
- privacy issues
- data sharing
- random projections