Privacy Preserving Machine Learning Systems

Abstract

Machine learning(ML) tools are among the promising data-driven techniques that can help solve many real-life problems. However these tools rely on the collection of large volumes of data, which raises many privacy concerns and more broadly trustworthiness concerns. Privacy Preserving technologies aim at solving the issue by integrating privacy enhancing technologies (PETs) within the machine learning pipelines.