HDMM: Optimizing error of high-dimensional statistical queries under differential privacy.
Ryan McKennaGerome MiklauMichael HayAshwin MachanavajjhalaPublished in: CoRR (2021)
Keyphrases
- differential privacy
- statistical queries
- high dimensional
- differentially private
- privacy preserving
- noisy data
- data sharing
- uniform distribution
- low dimensional
- boolean functions
- dimensionality reduction
- data privacy
- data points
- personal information
- privacy preservation
- lower bound
- data warehouse
- databases
- pac learning
- data analysis
- data mining