Privacy-Preserving Genome-Wide Association Study for Rare Mutations - A Secure FrameWork for Externalized Statistical Analysis.
Reda BellafqiraThomas E. LudwigDavid NiyitegekaEmmanuelle GéninGouenou CoatrieuxPublished in: IEEE Access (2020)
Keyphrases
- privacy preserving
- multi party
- statistical analysis
- vertically partitioned data
- scalar product
- privacy preserving data mining algorithms
- privacy preservation
- sensitive data
- privacy preserving data mining
- horizontally partitioned data
- data privacy
- user privacy
- secure multiparty computation
- private information
- databases
- privacy preserving association rule mining
- homomorphic encryption
- privacy concerns
- privacy guarantees
- partitioned data
- horizontally partitioned
- privacy sensitive
- private data
- differential privacy