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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Bibliographic Details
Published in:IEEE Access
Main Authors: Peter Edwards, Jean-Christophe Nebel, Darrel Greenhill, Xing Liang
Format: Article
Language:English
Published: IEEE 2024-01-01
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10711187/