Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach. (arXiv:2203.07728v1 [eess.IV])

Deep learning (DL) is being increasingly utilized in healthcare-related
fields due to its outstanding efficiency. However, we have to keep the
individual health data used by DL models private and secure. Protecting data
and preserving the privacy of individuals has become an increasingly prevalent
issue. The gap between the DL and privacy communities must be bridged. In this
paper, we propose privacy-preserving deep learning (PPDL)-based approach to
secure the classification of Chest X-ray images. This study aims to use Chest …

classification covid deep learning images privacy