3 papers
cs.CV2026
Attribution-Guided Multimodal Deepfake Detection via Cross-Modal Forensic Fingerprints
Wasim Ahmad, Wei Zhang, Xuerui Mao
Audio-visual deepfakes have reached a level of realism that makes perceptual detection unreliable, threatening media integrity and biometric security. While multimodal detection ha…
cs.CV2025
FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
Wasim Ahmad, Yan-Tsung Peng, Yuan-Hao Chang
The widespread emergence of face-swap Deepfake videos poses growing risks to digital security, privacy, and media integrity, necessitating effective forensic tools for identifying…
cs.CV2025
CapST: Leveraging Capsule Networks and Temporal Attention for Accurate Model Attribution in Deep-fake Videos
Wasim Ahmad, Yan-Tsung Peng, Yuan-Hao Chang +2
Deep-fake videos, generated through AI face-swapping techniques, have gained significant attention due to their potential for impactful impersonation attacks. While most research f…