Medical data forgery detection framework for the future AI era Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering Recent studies have shown rapid progress in image manipulation, which enables an attacker to manipulate the important area of a medical image (e.g., CT or MRI) or modify the disease attribute revealed [...]
