Privacy-preserving Artificial Intelligence Techniques in Biomedicine.
Reihaneh TorkzadehmahaniReza NasirigerdehDavid B. BlumenthalTim KacprowskiMarkus ListJulian O. MatschinskeJulian SpäthNina Kerstin WenkeBéla BihariTobias FrischAnne HartebrodtAnne-Christin HauschildDominik HeiderAndreas HolzingerWalter HötzendorferMarkus KastelitzRudolf MayerCristian NogalesAnastasia PustozerovaRichard RöttgerHarald H. H. W. SchmidtAmeli SchwalberChristof TschohlAndrea WohnerJan BaumbachPublished in: CoRR (2020)
Keyphrases
- privacy preserving
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- artificial intelligence
- privacy sensitive
- privacy issues
- privacy concerns
- multi party
- horizontally partitioned data
- horizontally partitioned
- partitioned data
- data privacy
- sensitive data
- private data
- data publishing
- data transformation
- sensitive information
- privacy requirements
- preserving privacy
- data perturbation
- secure multiparty computation
- naive bayesian classification
- privacy protection