DP: 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: CoRR (2020)
Keyphrases
- differential privacy
- privacy preserving
- differentially private
- dynamic programming
- private data
- privacy preservation
- privacy guarantees
- tabular data
- privacy preserving data mining algorithms
- data sharing
- anonymized data
- privacy preserving data mining
- personal information
- databases
- social networking
- image retrieval
- data access
- data management
- probability distribution
- query processing