3 papers
cs.CV2026
IDO: Incongruity-aware Distribution Optimization for Multimodal Fake News Detection
Hengyang Zhou, Rongman Hong, Yuxuan Zhou +2
Multimodal fake news detection aims to identify the authenticity of news. Existing multimodal fake news detection methods mainly focus on cross-modal consistency, but often fail to…
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…