R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions.
Meisam MohammadyShangyu XieYuan HongMengyuan ZhangLingyu WangMakan PourzandiMourad DebbabiPublished in: CCS (2020)
Keyphrases
- differential privacy
- privacy preserving
- differentially private
- dynamic programming
- privacy guarantees
- private data
- privacy preservation
- tabular data
- privacy preserving data mining
- data privacy
- privacy preserving data mining algorithms
- anonymized data
- data sharing
- private information
- web search
- probability distribution
- information retrieval
- data sets