With the rapid development of face forgery techniques, the existing frame-based deepfake
video detection methods have fell into a dilemma that frame-based methods may fail when …

Abstract Face Anti-Spoofing (FAS) is recently studied under the continual learning setting,
where the FAS models are expected to evolve after encountering data from new domains …

Deepfakes have recently raised significant trust issues and security concerns among the
public. Compared to CNN face forgery detectors, ViT-based methods take advantage of the …

Face aging tasks aim to simulate changes in the appearance of faces over time. However,
due to the lack of data on different ages under the same identity, existing models are …

The detection of deepfake images and videos is a critical concern in social communication
due to the widespread utilization of deepfake techniques. The prevalence of these methods …

Nowadays, forgery faces pose pressing security concerns over fake news, fraud,
impersonation, etc. Despite the demonstrated success in intra-domain face forgery …

The rapid advancement of deepfake technology presents significant challenges in detecting
highly convincing fake videos, posing risks such as misinformation, identity theft, and privacy …

Thumbnail preserving encryption (TPE) images protect privacy while still maintaining visual
usability when stored in the cloud. However, existing thumbnail preserving encryption …

With the rapid development of deepfake technology, it is finding applications in virtual movie
production and entertainment. However, its potential for malicious use, such as generating …

Face presentation attacks (FPA), also known as face spoofing, have brought increasing
concerns to the public through various malicious applications, such as financial fraud and …