AI RESEARCH
Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection
arXiv CS.CV
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ArXi:2604.17268v1 Announce Type: new AI-generated imagery has reached near-photorealistic fidelity, yet this technology poses significant threats to information security and societal trust. Existing deepfake detection methods often exhibit limited robustness in open-world scenarios. To address this limitation, this paper investigates intrinsic discrepancies between synthetic and authentic images from a signal-level perspective. Our analysis reveals that low-correlation signals serve as distinctive markers for differentiating AI-generated imagery from real photographs.