Deepfake detection remains a challenging task due to the difficulty of generalizing to new
types of forgeries. This problem primarily stems from the overfitting of existing detection …

Recently, face manipulation techniques have caused increasing trust concerns in our
society. Although current face manipulation detection methods achieve impressive …

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 …

Deepfake detection has attracted increasing attention in recent years. In this paper, we
propose a transformer-based framework with feature compensation and aggregation (Trans …

AI-synthesized text and images have gained significant attention, particularly due to the
widespread dissemination of multi-modal manipulations on the internet, which has resulted …

Face forgery generation technologies generate vivid faces, which have raised public
concerns about security and privacy. Many intelligent systems, such as electronic payment …

As Deepfake contents continue to proliferate on the internet, advancing face manipulation
forensics has become a pressing issue. To combat this emerging threat, previous methods …

With the advancement of face manipulation technology, forgery images in multi-face
scenarios are gradually becoming a more complex and realistic challenge. Despite this …

Nowadays, numerous synthesized images and videos generated by facial manipulated
techniques have become an emerging problem, which promotes facial manipulation …

With the advancement of generative models, face forgeries are becoming increasingly
realistic, making face forgery detection a hot topic in research. The primary challenge in face …