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 …

Recent research has found that many families of machine learning models are vulnerable to
adversarial examples: inputs that are specifically designed to cause the target model to …

We propose a new method to detect deepfake images using the cue of the source feature
inconsistency within the forged images. It is based on the hypothesis that images' distinct …

ABSTRACT The Internet of Things (IoT) is an ecosystem comprised of multiple devices and
connections, a large number of users, and a massive amount of data. Deep learning is …

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 …

Advances in photo editing and manipulation tools have made it significantly easier to create
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …

Many forensic techniques have recently been developed to determine whether an image
has undergone a specific manipulation operation. When multiple consecutive operations are …

As advanced image manipulation techniques emerge, detecting the manipulation becomes
increasingly important. Despite the success of recent learning-based approaches for image …

Due to the rapid proliferation of image capturing devices and user-friendly editing software
suites, image manipulation is at everyone's hand. For this reason, the forensic community …

Due to the wide diffusion of JPEG coding standard, the image forensic community has
devoted significant attention to the development of double JPEG (DJPEG) compression …