Image source forensics is widely considered as one of the most effective ways to verify in a
blind way digital image authenticity and integrity. In the last few years, many researchers …

The manipulation of digital images has become very common in recent years. Thus, it is
possible to cut, clone, and resize an image very quickly, which makes it challenging to …

Gas sensor drift, which has the characteristics of randomness and nonlinearity, is an
inevitable problem in electronic nose (E-nose) systems. In this study, a domain-adaptive …

Source camera identification has long been a hot topic in the field of image forensics.
Besides conventional feature engineering algorithms developed based on studying the …

Recently, the generative adversarial networks (GANs) generated images have been spread
over the social networks, which brings the new challenge in the community of media …

Camera model identification has earned paramount importance in the field of image
forensics with an upsurge of digitally altered images which are constantly being shared …

Digital forensics is a topic that has attracted many attention. One of the most common tasks
in digital forensics is imaging sensor identification. It may be understood as recognizing …

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 …

The development of deep neural networks that has been carried out in recent years allows
solving highly complex computer vision classification problems. Often, although the results …

Camera model identification (CMI) has gained significant importance in image forensics as
digitally altered images are becoming increasingly commonplace. In this paper, a novel …