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Seeing Through the Fake: Explainable AI With Multiple CNNs for Deepfake Detection

The rapid advancement of deepfake generation techniques poses significant challenges to the credibility of digital content by producing highly realistic manipulated content. This study explores two primary scenarios: the first is model configuration, and the second is training strategies. In the mod...

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Principais autores: Muhammad Aleem, Muhammad Umair, Muhammad Zubair, Rozeena Ibrahim, Muhammad Tahir Naseem, Muhammad Mohsin Raza, Muhammad Nadeem Ali, Byung-Seo Kim
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2026-01-01
סדרה:IEEE Access
נושאים:
Deepfakes
digital content
pre-trained Densenet201
inception ResNet
XceptionNet
VGG16
גישה מקוונת:https://ieeexplore.ieee.org/document/11316647/
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