Invited Paper: Local Differential Privacy on Metric Spaces: Optimizing the Trade-Off with Utility.
Mário S. AlvimKonstantinos ChatzikokolakisCatuscia PalamidessiAnna PaziiPublished in: CSF (2018)
Keyphrases
- differential privacy
- metric space
- invited paper
- differentially private
- privacy preserving
- similarity search
- distance function
- high dimensional
- privacy preservation
- personal information
- point sets
- data sharing
- data privacy
- searching in metric spaces
- range queries
- lecture notes
- vector space
- anonymized data
- data mining
- digital libraries