Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise.
Mehrdad ShowkatbakhshCan KarakusSuhas N. DiggaviPublished in: ISIT (2018)
Keyphrases
- linear regression
- additive noise
- random projections
- least squares
- noisy images
- spatial domain
- dimensionality reduction
- maximum likelihood
- dimension reduction
- image reconstruction
- random variables
- original data
- sparse representation
- random sampling
- principal component analysis
- low dimensional
- hash functions
- document clustering
- speech signal
- active learning
- high dimensionality
- data sets
- image denoising
- speech recognition
- image data