Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions.
Omri Ben-EliezerDan MikulincerIlias ZadikPublished in: NeurIPS (2022)
Keyphrases
- high dimensions
- differential privacy
- personal data
- privacy preservation
- high dimensional data
- high dimensional
- privacy preserving
- private data
- personal information
- data distribution
- high dimensional spaces
- sliding window
- poor quality
- sensitive information
- data mining
- privacy protection
- data privacy
- privacy preserving data mining
- private information
- high dimensionality
- nearest neighbor
- data streams