Deepfake is a type of image and video face manipulation methods which could cause
security and society threats. Although some related databases and detection models have …

With the rapid progress over the past five years, face authentication has become the most
pervasive biometric recognition method. Thanks to the high-accuracy recognition …

Face forgery detection is getting increasing attention due to the security threats caused by
forged faces. Recently, local patch-based approaches have achieved sound achievements …

Advancements in facial manipulation technology have resulted in highly realistic and
indistinguishable face and expression swap videos. However, this has also raised concerns …

As the remarkable development of facial manipulation technologies is accompanied by
severe security concerns, face forgery detection has spurred recent research. Most detection …

Manipulated images and videos have become increasingly realistic due to the tremendous
progress of deep convolutional neural networks (CNNs). While technically intriguing, such …

Existing face forgery detection usually follows the paradigm of training models in a single
domain, which leads to limited generalization capacity when unseen scenarios and …

The malicious use and widespread dissemination of deepfake pose a significant crisis of
trust. Current deepfake detection models can generally recognize forgery images by training …

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

Face forgery generating algorithms that produce a range of manipulated videos/images
have developed quickly. Consequently, this causes an increase in the production of fake …