GenoPPML - a framework for genomic privacy-preserving machine learning.
Sergiu CarpovNicolas GamaMariya GeorgievaDimitar JetchevPublished in: CLOUD (2022)
Keyphrases
- privacy preserving
- machine learning
- privacy preserving data mining
- privacy preserving data mining algorithms
- vertically partitioned data
- decision trees
- differential privacy
- privacy preservation
- privacy guarantees
- databases
- multi party
- data privacy
- sensitive information
- data perturbation
- privacy issues
- provide efficient solutions
- privacy sensitive
- secure multiparty computation
- scalar product
- privacy requirements
- data transformation
- data mining techniques
- personal data
- privacy protection
- database systems