Deep learning
DeepFake detection
Digital image forensics
Image re-representation
Convolutional
neural network CNN
DenseNet121
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DeepFake is a concern for celebrities and everyone because it is simple to create. DeepFake images,
especially high-quality ones, are difficult to detect using people, local descriptors, and current approaches. On the other
hand, video manipulation detection is more accessible than an image, which many state-of-the-art systems offer.
Moreover, the detection of video manipulation depends entirely on its detection through images. Many worked on
DeepFake detection in images, but they had complex mathematical calculations in preprocessing steps, and many
limitations, including that the face must be in front, the eyes have to be open, and the mouth should be open with the
appearance of teeth, etc. Also, the accuracy of their counterfeit detectio
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