Abstract Attacking machine learning models is one of the many ways to measure privacy models. Therefore, studying performance attacks against techniques essential know whether somebody can share information about models, and if shared, how much be shared? In this work, we investigate widely used dimensionality reduction Principal Component Analysis (PCA). We refer a recent paper that shows atta...