SoK: A Review of Differentially Private Linear Models For High-Dimensional Data.
Amol KhannaEdward RaffNathan InkawhichPublished in: SaTML (2024)
Keyphrases
- high dimensional data
- linear models
- differentially private
- variable selection
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- differential privacy
- dimension reduction
- high dimensionality
- data points
- data analysis
- data sets
- original data
- linear model
- data distribution
- sparse representation
- linear regression
- linear discriminant analysis
- missing values
- gaussian processes
- maximum likelihood
- prior information
- input data
- training set
- clustering algorithm
- image processing
- machine learning