A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features

The rise of deep-fake technology has sparked concerns as it blurs the distinction between fake media by harnessing Generative Adversarial Networks (GANs). This has raised issues surrounding privacy and security in the realm. This has led to a decrease in trust during online interactions; thus, empha...

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Autori principali:	Fazeel Zafar, Talha Ahmed Khan, Salas Akbar, Muhammad Talha Ubaid, Sameena Javaid, Kushsairy Abdul Kadir
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Access
Soggetti:	Deepfake detection face detection and alignment EfficientNet B0 temporal convolutional networks (TCNs) multi-task convolutional neural network (MTCNN) feature pyramid network (FPN)
Accesso online:	https://ieeexplore.ieee.org/document/10981422/
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