POPS: an off-peak precomputing scheme for privacy-preserving computing.
Po-Hsuan HuangTing-Wei ChangChia-Heng TuShen-Ming ChungPublished in: J. Supercomput. (2022)
Keyphrases
- privacy preserving
- horizontally partitioned data
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- sensitive information
- private information
- multi party
- record linkage
- data privacy
- data transformation
- private data
- naive bayesian classification
- data perturbation
- differential privacy
- privacy protection
- privacy guarantees
- privacy issues
- privacy preserving classification
- privacy sensitive
- decision trees
- differentially private
- preserving privacy
- scalar product
- privacy concerns
- privacy preserving association rule mining
- privacy requirements
- horizontally partitioned
- privacy preserving data mining algorithms