GenoPPML - a framework for genomic privacy-preserving machine learning.
Sergiu CarpovNicolas GamaMariya GeorgievaDimitar JetchevPublished in: IACR Cryptol. ePrint Arch. (2021)
Keyphrases
- privacy preserving
- machine learning
- multi party
- privacy preserving data mining
- private data
- privacy preserving data mining algorithms
- vertically partitioned data
- privacy guarantees
- privacy preservation
- data privacy
- privacy protection
- naive bayesian classification
- data transformation
- private information
- user privacy
- knowledge discovery
- partitioned data
- data analysis