Typographic Attacks on Vision-LLMs: Evaluating Adversarial Threats in Autonomous Driving Systems

This paper explores the critical safety risk of typographic attacks against Vision-Large-Language-Models (Vision-LLMs) integrated into autonomous driving (AD) systems.