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Jianquan Yang

2 accepted papers

2026

Unveiling the Attribute Misbinding Threat in Identity-Preserving Models

AAAI 2026technical

Identity-preserving models have led to notable progress in generating personalized content. Unfortunately, such models also exacerbate risks when misused, for instance, by generating threatening content targeting specific individuals. This paper introduces the Attribute Misbinding Attack, a novel me

Cited by 0SourcePDFScholar
2024

DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images

ICML 2024spotlight

Diffusion models have made significant strides in visual content generation but also raised increasing demands on generated image detection. Existing detection methods have achieved considerable progress, but they usually suffer a significant decline in accuracy when detecting images generated by an…