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content-verification

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umitkacar / multimodal-deepfake-detector

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EfficientNet+MTCNN deepfake detection achieving 87% accuracy with 12.96% EER - Multi-modal video forensics for misinformation prevention

computer-vision deep-learning fraud-prevention digital-forensics pytorch-models anti-spoofing adversarial-detection efficientnet deepfake-detection face-forgery-detection biometric-security content-verification multimodal-ai media-authentication video-forensics synthetic-media-forensics face-manipulation-detection deepfake-defense gan-detection diffusion-model-detection
  • Updated Nov 9, 2025
  • Python

IDT-ITI / Visual-Audio-Discrepancy-Detection

Star 2

Materials for our paper: K. Apostolidis, J. Abesser, L. Cuccovillo, V. Mezaris, "Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol", Proc. ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) at the ACM Int. Conf. on Multimedia Retrieval (ICMR’24)

self-attention audio-visual-forensics audio-visual-scene-classification content-verification
  • Updated Jun 7, 2024
  • Python

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