The Johnson-Lindenstrauss Transform Itself Preserves Differential Privacy.
Jeremiah BlockiAvrim BlumAnupam DattaOr SheffetPublished in: FOCS (2012)
Keyphrases
- differential privacy
- johnson lindenstrauss
- differentially private
- privacy preserving
- private data
- tabular data
- high dimensional
- privacy guarantees
- privacy preservation
- privacy preserving data mining algorithms
- data sharing
- data privacy
- anonymized data
- data sets
- data quality
- retrieval systems
- data model
- feature extraction
- information systems
- search engine