Alejandro Paredes La Torre

The paper evaluates the adversarial robustness of two open-source Vision-Language Models (LLaVA and Qwen2.5-VL) in a simulated e-commerce environment, finding that while LLaVA is vulnerable to gradient-based attacks, Qwen2.5-VL exhibits significantly higher resilience.