Existing face forgery detection models try to discriminate fake images by detecting only
spatial artifacts (eg, generative artifacts, blending) or mainly temporal artifacts (eg, flickering …

Deepfakes, or synthetic audiovisual media developed with the intent to deceive, are growing
increasingly prevalent. Existing methods, employed independently as images/patches or …

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

Face Forgery Detection (FFD), or Deepfake detection, aims to determine whether a digital
face is real or fake. Due to different face synthesis algorithms with diverse forgery patterns …

Video forgery (VF) is manipulating fake videos by modifying, coordinating or generating new
content in the video sequence. The generated fake videos pose a great threat to social …

Deepfake poses a significant threat in contemporary times as it has negative impact on
society. It is incredibly difficult to distinguish manipulated faces from real ones, even when …