The rapid development of face forgery technology has posed a significant threat to
information security. While deepfake detection has proven to be an effective …

Recent years have witnessed exciting progress in automatic face swapping and editing.
Many techniques have been proposed, facilitating the rapid development of creative content …

Breathtaking advances in face forgery techniques produce visually untraceable deepfake
videos, thus potential malicious abuse of these techniques has sparked great concerns …

The malicious usage of facial manipulation techniques boosts the desire of face forgery
detection research. Recently, identity-based approaches have attracted much attention due …

A major difficulty in speech spoofing detection lies in improving the generalization ability to
detect unknown forgery methods. However, most previous methods do not consider the …

In recent years, with the rapid development of deepfake technology, a large number of
deepfake videos have emerged on the Internet, which poses a huge threat to national …

With the rapid development of manipulation technologies, the generation of Deep Fake
videos is more accessible than ever. As a result, face forgery detection becomes a …

Face forgery generation algorithms have advanced rapidly, resulting in a diverse range of
manipulated videos and images which are difficult to identify. As a result, face manipulation …

The current challenge of Deepfake detection is the cross-domain performance on unseen
Deepfake data. Instead of extracting forgery artifacts that are robust to the cross-domain …

The transformer networks are extensively utilized in face forgery detection due to their
scalability across large datasets. Despite their success, transformers face challenges in …