In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …

For image local forgery detection, the existing methods require a large amount of labeled
data for training, and most of them cannot detect multiple types of forgery simultaneously. In …

Copy-Move forgery practices are defamatory tampering processes, affecting digital images.
Such practices have become much more common nowadays because of the advent of …

With wide applications of image editing tools, forged images (splicing, copy-move, removal
and etc.) have been becoming great public concerns. Although existing image forgery …

Image forgery detection aims to detect and locate forged regions in an image. Most existing
forgery detection algorithms formulate classification problems to classify pixels into forged or …

Computer vision applications involving digital forensic investigations widely use digital
images as legal documentary proof. Ensuring the authenticity and reliability of digital images …

With the development of deep learning technology, various forgery methods emerge
endlessly. Meanwhile, methods to detect these fake videos have also achieved excellent …

Detection of aligned double Joint Photographic Experts Group (JPEG) compressed images
is a crucial area of research within the field of digital image forensics. The detection tasks for …

With the proliferation of retouching software, the detrimental effects of malicious image
tampering are becoming more prevalent. In this study, we propose an adaptive method …

In the last two decades, we have witnessed an immense increase in the use of multimedia
content on the internet, for multiple applications ranging from the most innocuous to very …