DYMAPIA builds dynamic anomaly masks from Fourier spectra, texture, edges, and optical flow to guide a lightweight DistXCNet classifier, reporting over 99% accuracy and F1 on FF++, Celeb-DF, and VDFD.
Deepfakes – reality under threat? In2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), pages 0721–0727
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DYMAPIA: A Multi-Domain Framework for Detecting AI-based Video Manipulation
DYMAPIA builds dynamic anomaly masks from Fourier spectra, texture, edges, and optical flow to guide a lightweight DistXCNet classifier, reporting over 99% accuracy and F1 on FF++, Celeb-DF, and VDFD.