To defend against manipulation of image content, such as splicing, copy-move, and
removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to …

Digital image authenticity has promoted research on image forgery localization. Although
deep learning-based methods achieve remarkable progress, most of them usually suffer …

An effective error prediction algorithm is the key to improving the embedding performance of
reversible data hiding schemes. In this paper, high-performance ridge regression predictor …

Recent studies have shown that high-quality code semantics learning can effectively
improve the performance of code clone detection. However, existing approaches suffer from …

Although the current generative adversarial networks (GAN)-generated face forensic
detectors based on deep neural networks (DNNs) have achieved considerable …

Although existing face forgery detection methods achieve satisfactory performance under
closed within-dataset scenario where training and testing sets are created by the same …

Deep learning-based models have made great progress in image tampering localization,
which aims to distinguish between manipulated and authentic regions. However, these …

Multimedia forensics is an essential field of research that deals with the authenticity and
integrity of multimedia content in the digital world. With the increasing use of digital platforms …

In order to reply the potential security issues caused by the tampering of digital images,
many image forensics approaches based on deep learning have been proposed in recent …

The widespread misuse of advanced image editing tools and deep generative techniques
has led to a proliferation of images with altered content in real-life scenarios, often without …