A Critical Overview of Privacy in Machine Learning
Emiliano De Cristofaro · IEEE Security & Privacy · 2021
This article reviews privacy challenges in machine learning and provides a critical overview of the relevant research literature. The possible adversarial models are discussed, a wide range of attacks related to sensitive information leakage is covered, and several open problems are highlighted.