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DeepFake Image Detection

How to detect deepfake photos?
Use an AI image detector
These services use a type of AI called neural networks that use computer algorithms to analyse images and compare them to known key traits, patterns and characteristics of various AI models and typical images made by humans to determine the origin of the content.
What is the tool to detect deepfakes?
FakeCatcher is a real-time deepfake detector that Intel introduced.
This technology returns results in milliseconds and has a 96% accuracy rate when detecting phoney videos.
Developed in partnership with Umur Ciftci from the State University of New York at Binghamton, the detector operates on a web-based platform.
Which model is best for deepfake detection?
In the following sections, we briefly describe these techniques and then explain its implementation on deepfake discovery.
A convolutional neural network (CNN) is the most commonly used deep neural network model.
CNN, like neural networks, has an input and output layer, as well as one or more hidden layers.
Deepfake technology, which uses machine learning algorithms to generate realistic-looking videos of people doing and saying things that they never did, has advanced significantly in recent years, making it increasingly difficult to detect whether a deepfake video is real or not.

How to detect deepfake photos?