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Home/Authors/Ye Leng

Ye Leng

1 indexed paper

Recent (6 mo)
1
With code
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Publications per year

1
26

Top categories

Vision×1AI×1Crypto×1

Frequent co-authors

Junjie Chu1×
Mingjie Li1×
Chenhao Lin1×
Chao Shen1×
Michael Backes1×
Yun Shen1×

Research Timeline

2026
When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm

The paper analyzes that while multimodal large language models (MLLMs) offer superior semantic understanding for image generation, this enhanced capability significantly increases safety risks, particularly in generating unsafe content and creating harder-to-detect fake images compared to traditional diffusion models.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIcs.CRRecentMar 25, 2026

When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm

Ye Leng, Junjie Chu, Mingjie Li, Chenhao Lin +4 more

The paper analyzes that while multimodal large language models (MLLMs) offer superior semantic understanding for image generation, this enhanced capability significantly increases safety risks, partic…

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