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