Analyze gauss: optimal bounds for privacy-preserving principal component analysis.
Cynthia DworkKunal TalwarAbhradeep ThakurtaLi ZhangPublished in: STOC (2014)
Keyphrases
- privacy preserving
- principal component analysis
- privacy preservation
- privacy preserving data mining
- vertically partitioned data
- privacy protection
- private information
- data privacy
- privacy sensitive
- private data
- record linkage
- multi party
- data perturbation
- horizontally partitioned
- privacy preserving association rule mining
- personal data
- differential privacy
- privacy issues
- dimensionality reduction
- feature space
- secure multiparty computation
- horizontally partitioned data
- privacy concerns
- feature extraction
- privacy requirements
- scalar product
- sensitive information
- low dimensional
- high dimensional
- privacy preserving data mining algorithms