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2 accepted papers

2025

FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error

CVPR 2025poster

The rapid advancement of diffusion models has significantly improved high-quality image generation, making generated content increasingly challenging to distinguish from real images and raising concerns about potential misuse. In this paper, we observe that diffusion models struggle to accurately re…

2025

Reduced Spatial Dependency for More General Video-level Deepfake Detection

ICASSP 2025accepted

As one of the prominent AI-generated content, Deepfake has raised significant safety concerns. Although it has been demonstrated that temporal consistency cues offer better generalization capability, existing methods based on CNNs inevitably introduce spatial bias, which hinders the extraction of in…

Cited by 0SourceScholar