With the growing popularity of social media and an outburst of malicious tampering methods,
it has become easier than ever to mislead others and create disharmony in society by …

Face forgery detection is essential in combating malicious digital face attacks. Previous
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …

With the large chunks of social media data being created daily and the parallel rise of
realistic multimedia tampering methods, detecting and localising tampering in images and …

Detecting and grounding multi-modal media manipulation (DGM^ 4) has become
increasingly crucial due to the widespread dissemination of face forgery and text …

Visible-Infrared person re-identification is challenging due to the large modality gap. To
bridge the gap, most studies heavily rely on the correlation of visible-infrared holistic person …

The challenge in sourcing attribution for forgery faces has gained widespread attention due
to the rapid development of generative techniques. While many recent works have taken …

The generalizable face anti-spoofing (FAS) has attracted much attention recently. Even
though many existing methods perform well under intra-domain settings, the model's …

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 detection has become a new research hotspot. Though existing detection
works have achieved impressive performance, they are difficult to achieve a proper trade-off …

Over the past few years, deep generative models have significantly evolved, enabling the
synthesis of realistic content and also bringing security concerns of illegal misuse …