SecureML: A System for Scalable Privacy-Preserving Machine Learning.
Payman MohasselYupeng ZhangPublished in: IEEE Symposium on Security and Privacy (2017)
Keyphrases
- privacy preserving
- machine learning
- privacy preservation
- vertically partitioned data
- privacy preserving data mining
- multi party
- private information
- data privacy
- horizontally partitioned data
- record linkage
- preserving privacy
- privacy concerns
- privacy protection
- data transformation
- privacy sensitive
- scalar product
- privacy preserving classification
- data mining
- privacy issues
- feature selection
- sensitive information
- differential privacy
- support vector machine
- sensitive data
- secure multiparty computation
- privacy preserving association rule mining
- databases
- naive bayesian classification
- horizontally partitioned
- private data
- data analysis