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IEEE/ICACT20250021 Slide.10        [Big Slide]	Oral Presentation
	To detect AI-generated images, we looked at past research and identified three major features that can help us differentiate real from fake: Frequency domain anomalies, forensic details, and semantic meaning. Humans are especially good at spotting semantic inconsistencies—like when something just doesn¡¯t feel right in an image. However, deep learning models struggle with this kind of high-level reasoning. While existing methods like F3 Net and CNN Spot focus on low-level patterns, they are often easily fooled or too dependent on specific AI models. That¡¯s why we propose a semantic-based approach, which is more resistant to future AI.

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