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Deepfake video detecion
Areen Althenayan ,Rawan Almutawa ,Raghad Alenezi
Ms.Hend Alabbad
Deepfake
It is an artificial intelligence technology that refers to images, audio, and video whose content has been changed by specialized algorithms.
So that it is used to produce a video or modify its entire content to show something that was not originally in it, as it It looks exactly like the real one, but it is actually fake.
disadvantages
Fake news
Financial Fraud
Digital extortion
Types
Deepfakes Types
Audio
audios
image
images
video
videos
Tools
Deepfake Tools
Popular Deepfake Tools
Deepfakes wep
FACESWAP
FACESWAP
FaceApp
FaceApp
Deepfake detection
Detection
The deepfake technology presents a devastating challenge in the induction of cyberattacks.
The technology induces the creation of fake videos and images alongside the cloning of voice messages hence presenting an opportunity for cybercriminals to utilize the technology in various social engineering attacks.
we divide these models into two model
various models that are used for detecting Deepfake.
machine learning model
Deep learning model
Methods
Recurrent Neural Network
Artificial Neural Networks
Convolutional Neural Network
Convolutional Neural Network
A convolutional neural network (CNN) is a deep learning algorithm that learns directly from data.
CNNs are particularly useful for finding patterns in images to recognize objects, classes, and categories.
System Level Overview of the Proposed Network
System Level Overview of the Proposed Network
Datasets
To analyze the detection accuracy of proposed methods it is of utmost importance to have a good and representative dataset for performance evaluation.
FaceForensics++
WildDeepfake
DeepfakeTIMIT
DeepfakeTIMIT
DeepfakeTIMIT
Dec,2018
620
Conclusion
Deepfakes quality has been increasing and the performance of detection methods needs to be improved accordingly.
The inspiration is that what AI has broken can be fixed by AI .
What's next