Optimizing error of high-dimensional statistical queries under differential privacy.
Ryan McKennaGerome MiklauMichael HayAshwin MachanavajjhalaPublished in: Proc. VLDB Endow. (2018)
Keyphrases
- differential privacy
- statistical queries
- high dimensional
- differentially private
- privacy preserving
- noisy data
- uniform distribution
- low dimensional
- privacy preservation
- high dimensionality
- pac learning
- data sharing
- dimensionality reduction
- high dimensional data
- feature space
- data points
- lower bound
- personal information
- nearest neighbor
- positive examples
- boolean functions
- data privacy
- learning theory
- information retrieval
- data integration
- data analysis