Author

Meng Xie

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Jul 2026

TYPO: Instruction-Dense Visual Jailbreaks against Commercial Closed-Source Image-Generation Models

This paper introduces the concept of instruction-dense visual jailbreaks, in which image-generation models produce detailed, readable, and actionable harmful instructions within images, and proposes TYPO, a black-box framework that exploits this safety gap by automatically generating adversarial TYPOgraphy prompts.

Meng Xie, Li Zeng, Hang Zhang et al. · arXiv.org · 0 citations

Jul 2026

GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models

Vision-Language Models (VLMs) are known to be vulnerable to adversarial attacks, where subtle perturbations to images or texts induce erroneous outputs. However, most text-based attacks are adapted from language-model-centric methods, in which the visual input is fixed during optimization, resulting in adversarial prom...

Li Zeng, Ze-Yu Ye, Meng Xie et al. · arXiv.org · 0 citations