With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

Seeing is not believing anymore. Different techniques have brought to our fingertips the
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …

In this paper we present TruFor, a forensic framework that can be applied to a large variety
of image manipulation methods, from classic cheapfakes to more recent manipulations …

Training a single deep blind model to handle different quality factors for JPEG image
artifacts removal has been attracting considerable attention due to its convenience for …

Detecting and localizing image splicing has become essential to fight against malicious
forgery. A major challenge to localize spliced areas is to discriminate between authentic and …

Detecting and localizing image manipulation are necessary to counter malicious use of
image editing techniques. Accordingly, it is essential to distinguish between authentic and …

The digital image proves critical evidence in the fields like forensic investigation, criminal
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …

Detecting manipulated images has become a significant emerging challenge. The advent of
image sharing platforms and the easy availability of advanced photo editing software have …

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 …

Finding tampered regions in images is a common research topic in machine learning and
computer vision. Although many image manipulation location algorithms have been …