A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models

Yuhan Liang, Yijun Li, Yumeng Niu +2

The robustness of Vision-Language Models (VLMs) such as CLIP is critical for their deployment in safety-critical applications like autonomous driving, healthcare diagnostics, and s…