2 papers
cs.CV2026
Visual Input and Its Framing Affect Undermine the Stability of Attribute-based Descriptions Produced by Large Vision-Language Models
Xiaomeng Wang, Martha Larson, Zhengyu Zhao +1
Large vision-language models (LVLMs) are commonly prompted with text alone or together with an image. In this paper, we find a new aspect of LVLM vulnerability in its response robu…
cs.CR2025
Typographic Attacks in a Multi-Image Setting
Xiaomeng Wang, Zhengyu Zhao, Martha Larson
Large Vision-Language Models (LVLMs) are susceptible to typographic attacks, which are misclassifications caused by an attack text that is added to an image. In this paper, we intr…