To fight against real-life image forgery, which commonly involves different types and
combined manipulations, we propose a unified deep neural architecture called ManTra-Net …

Image manipulation has eroded our trust of digital images, with more subtle forgery methods
posing an ever-increasing challenge to the integrity of images and their authenticity. Over …

Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

Witnessing impressive results of deep nets in a number of computer vision problems, the
image forensic community has begun to utilize them in the challenging domain of detecting …

Generative Adversarial Network (GAN) is a prominent generative model that are widely used
in various applications. Recent studies have indicated that it is possible to obtain fake face …

Perceptual hashing is used for multimedia content identification and authentication through
perception digests based on the understanding of multimedia content. This paper presents a …

Conventional forgery localizing methods usually rely on different forgery footprints such as
JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to locate …

Image forgeries can be detected and localized by using deep convolution neural network,
and semantic segmentation. Color illumination is used to apply color map after pre …

With the advance of many image manipulation tools, carrying out image forgery and
concealing the forgery is becoming easier. In this paper, the convolution neural network …

Video tampering methods have witnessed considerable progress in recent years. This is
partly due to the rapid development of advanced deep learning methods, and also due to …