SoK: A Review of Differentially Private Linear Models For High-Dimensional Data

Amol Khanna, Edward Raff, Nathan Inkawhich

Linear models are ubiquitous in data science, but are particularly prone to overfitting and data memorization in high dimensions. To guarantee the privacy of training data, differe…