2 papers
cs.CV2026
Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis
Miao Liu, Fangda Wei, Jing Wang +1
Existing deepfake detection research has primarily focused on scenarios where the manipulated subject is actively speaking, i.e., generating fabricated content by altering the spea…
cs.CV2026
MSCT: Differential Cross-Modal Attention for Deepfake Detection
Fangda Wei, Miao Liu, Yingxue Wang +3
Audio-visual deepfake detection typically employs a complementary multi-modal model to check the forgery traces in the video. These methods primarily extract forgery traces through…