Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model.
Neera JeyamohanXiaomin ChenNauman AslamKezhi WangZhan ShuPublished in: CoRR (2021)
Keyphrases
- differential privacy
- gaussian mixture model
- private data
- privacy preserving
- privacy guarantees
- differentially private
- mixture model
- em algorithm
- feature vectors
- privacy preservation
- data sharing
- expectation maximization
- gaussian distribution
- feature space
- maximum likelihood
- privacy preserving data mining
- data privacy
- databases
- anonymized data
- personal information
- search logs
- private information
- sensitive information
- data model
- high dimensional