Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise.
Mehrdad ShowkatbakhshCan KarakusSuhas N. DiggaviPublished in: CoRR (2019)
Keyphrases
- linear regression
- additive noise
- random projections
- noisy images
- spatial domain
- least squares
- dimensionality reduction
- maximum likelihood
- dimension reduction
- random variables
- image reconstruction
- original data
- principal component analysis
- sparse representation
- random sampling
- speech signal
- high dimensionality
- low dimensional
- face recognition
- hash functions
- pattern recognition
- frequency domain
- probability distribution
- feature extraction
- machine learning
- graphical models
- edge detection
- high dimensional
- three dimensional