Revisit Linear Transformation for Image Privacy in Machine Learning

Linear transformation (LT) plays an important role in machine learning and data science, from data representation, to machine-learning (ML) model training. On the other hand, a well known machine learning model for visual tasks, CNN, is can be interpreted as a LT system into multiple layers which are connected by non-linear units, i.e., activation functions. In this paper, we revisit LT as a highly-efficient approach to encrypt images for ML …