SoK: A Review of Differentially Private Linear Models For High-Dimensional Data.
Amol KhannaEdward RaffNathan InkawhichPublished in: CoRR (2024)
Keyphrases
- high dimensional data
- linear models
- differentially private
- variable selection
- dimensionality reduction
- nearest neighbor
- differential privacy
- high dimensional
- data sets
- low dimensional
- data distribution
- dimension reduction
- data points
- high dimensionality
- missing values
- linear model
- data analysis
- linear regression
- original data
- gaussian processes
- sparse representation
- input data
- knn
- linear discriminant analysis
- training data
- database
- contingency tables
- supervised learning
- support vector
- latent variables
- least squares