DP-PCA: Statistically Optimal and Differentially Private PCA

Principal Component Analysis (PCA) is a fundamental statistical tool with multiple applications including dimensionality reduction, data visualization, and noise reduction. Naturally, it is a key part of most standard data analysis and ML pipelines. However, when applied to data collected from numerous individuals, such as the U.S. Census data, outcome of PCA might reveal highly