MEXFIC: A meta ensemble eXplainable approach for AI-synthesized fake image classification

In the evolving landscape of artificial intelligence (AI), differentiating between authentic and artificially generated images poses a significant challenge, primarily due to the rapidly enhancing quality of AI-generated images. This paper systematically evaluates state-of-the-art classification mod...

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Autors principals:	Md Tanvir Islam, Ik Hyun Lee, Ahmed Ibrahim Alzahrani, Khan Muhammad
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-03-01
Col·lecció:	Alexandria Engineering Journal
Matèries:	Fake image classification AI-synthesized image classification AI-generated image classification Image authenticity verification Smart surveillance CIFAKE
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S111001682401617X
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