New preprint on audio-visual deepfake detection across domains
EAV-DFD uses a teacher-student structure to adapt an ensemble audio-visual deepfake detector to unseen domains with only a small sample of target data.
Deepfake detectors usually lose much of their accuracy on media that does not resemble their training set. EAV-DFD recovers a large part of that gap using a teacher-student adaptation step, and reports which modality — audio or video — was manipulated.
People: Maryam Ramezani
Related publication
Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection
Elham Abolhasani, Maryam Ramezani, Hamid R. Rabiee
arXiv|2026|Preprint