Privacy-Utility Tradeoff of OLS with Random Projections.
Yun LuMalik Magdon-IsmailYu WeiVassilis ZikasPublished in: CoRR (2023)
Keyphrases
- random projections
- differential privacy
- compressive sensing
- dimension reduction
- dimensionality reduction
- sparse representation
- original data
- privacy preserving
- compressed sensing
- image reconstruction
- random sampling
- principal component analysis
- hash functions
- low dimensional
- high dimensionality
- pattern recognition
- high quality
- machine learning
- document clustering
- support vector machine
- computational complexity
- computer vision