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 …

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

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 …

In this paper, we propose a novel framework leveraging the advantages of the
representational ability of deep learning and domain generalization for face spoofing …

Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …

The vast amounts of data being collected and analyzed have led to invaluable source of
information, which needs to be easily handled by humans. Automatic Text Summarization …

With the ongoing popularization of online services, the digital document images have been
used in various applications. Meanwhile, there have emerged some deep learning-based …

Source camera identification is still a hard task in forensics community, especially for the
case of the query images with small size. In this paper, we propose a solution to identify the …

In this letter, a deep-learning-based pipeline is proposed to distinguish photographics (PGs)
from computer-graphics (CGs) combining convolutional neural network (CNN) and recurrent …

We describe the acquisition of a large, diverse set of rebroadcast images captured by a
screen-grab, scanning a printed photo, or rephotographing a displayed or a printed photo …