Existing face forgery detectors mainly focus on specific forgery patterns like noise
characteristics, local textures, or frequency statistics for forgery detection. This causes …

In this paper, we consider the face swapping detection from the perspective of face identity.
Face swapping aims to replace the target face with the source face and generate the fake …

With the springing up of face synthesis techniques, it is prominent in need to develop
powerful face forgery detection methods due to security concerns. Some existing methods …

Intra-frame inconsistency has been proved to be effective for the generalization of face
forgery detection. However, learning to focus on these inconsistency requires extra pixel …

In recent years, face forgery detectors have aroused great interest and achieved impressive
performance, but they are still struggling with generalization and robustness. In this work, we …

The growing threats of deepfakes to society and cybersecurity have raised enormous public
concerns, and increasing efforts have been devoted to this critical topic of deepfake video …

Various facial manipulation techniques have drawn serious public concerns in morality,
security, and privacy. Although existing face forgery classifiers achieve promising …

Face forgery detection becomes increasingly crucial due to the serious security issues
caused by face manipulation techniques. Recent studies in deepfake detection have yielded …

Recent advances in face forgery techniques produce nearly visually untraceable deepfake
videos, which could be leveraged with malicious intentions. As a result, researchers have …

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 …