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A Review of Deepfake Techniques: Architecture, Detection, and Datasets

Driven by continuous advancements in artificial intelligence, especially deep learning, the level of realism associated with deepfake technology continues to improve year after year, which poses unprecedented challenges to the field of deepfake detection. The boundary between what we as humans can d...

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Detaylı Bibliyografya
Asıl Yazarlar: Peter Edwards, Jean-Christophe Nebel, Darrel Greenhill, Xing Liang
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: IEEE 2024-01-01
Seri Bilgileri:IEEE Access
Konular:
Online Erişim:https://ieeexplore.ieee.org/document/10711187/
Etiketler: Etiketle
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