Boosting Deep Feature Fusion-Based Detection Model for Fake Faces Generated by Generative Adversarial Networks for Consumer Space Environment

Boosting Deep Feature Fusion-Based Detection Model for Fake Faces Generated by Generative Adversarial Networks for Consumer Space Environment

In the consumer space, deep fakes refer to highly realistic, AI-generated images, audio, or videos that mimic real people generated by cutting-edge technologies such as Generative Adversarial Networks (GANs). In the digital age, recognizing and detecting deepfakes is a critical problem. The most com...

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Xehetasun bibliografikoak
Egile Nagusiak: Fadwa Alrowais, Asma Abbas Hassan, Wafa Sulaiman Almukadi, Meshari H. Alanazi, Radwa Marzouk, Ahmed Mahmud
Formatua: Artikulua
Hizkuntza:English
Argitaratua: IEEE 2024-01-01
Saila:IEEE Access
Gaiak:
Consumer space
deepfake image detection
generative adversarial network
slime mould algorithm
image processing
CNN
Sarrera elektronikoa:https://ieeexplore.ieee.org/document/10699337/

Internet

https://ieeexplore.ieee.org/document/10699337/

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