VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts

Peigui Qi, Kunsheng Tang, Yanpu Yu +7

Vision-Language Models (VLMs) face significant safety vulnerabilities from malicious prompt attacks due to weakened alignment during visual integration. Existing defenses suffer fr…