Abstract: Imaging technology has made tremendous progress in recent years, and digital images can now be captured by a variety of handheld devices such as mobile phones, wearables, tabs, and ...

“Image Forgery Detection using Hybrid Model” aims to significantly improve the precision and reliability of identifying image manipulations through the integration of advanced machine learning ...

Microsoft says its advanced machine learning threat detection models ... distributing disk image files infected with malware. The campaign, detected last week, is using COVID-19 lures (email ...

Abstract: The prominent use of social networking services had led to the ease of manipulating images using various image editing tools, AI tools which has led to the rise of forged images, due to this ...

In this project, we present a cutting-edge method for Image Forgery Detection using a novel combination of Error Level Analysis (ELA) and Convolutional Neural ...