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IEEE/ICACT20250021 Slide.18        [Big Slide]	Oral Presentation
	We achieved the highest average accuracy of 70.2%, outperforming the others. While our model doesn¡®t reach the 99.9% performance on Stable Diffusion, it¡¯s more consistent across all datasets. It performs best on BigGAN, Midjourney, and GLIDE, showing strong generalisation. Our model shows great improvements in detecting AI-generated images across multiple datasets. It's not like the other models that depend on a few sources, like Stable Diffusion. Our model is more balanced and reliable, and it detects different types of AI images well.

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