Practical Secure Aggregation for Privacy Preserving Machine Learning.
Kallista A. BonawitzVladimir IvanovBen KreuterAntonio MarcedoneH. Brendan McMahanSarvar PatelDaniel RamageAaron SegalKarn SethPublished in: IACR Cryptol. ePrint Arch. (2017)
Keyphrases
- privacy preserving
- vertically partitioned data
- machine learning
- secure multi party computation
- scalar product
- secure multiparty computation
- multi party
- horizontally partitioned data
- sensitive data
- privacy preserving data mining
- homomorphic encryption
- user privacy
- privacy preservation
- privacy preserving data mining algorithms
- sensitive information
- horizontally partitioned
- data mining
- data privacy
- partitioned data
- privacy guarantees
- privacy protection
- privacy preserving association rule mining
- decision trees
- record linkage
- privacy concerns
- private information
- real world
- differential privacy
- preserving privacy
- private data
- data mining techniques
- privacy sensitive
- privacy requirements
- feature selection