VSF-Med: A Vulnerability Scoring Framework for Medical Vision-Language Models
Published in IEEE ISBI 2026, 2025
| Project Page | arXiv |
VSF-Med provides a systematic approach to evaluate vulnerabilities in medical VLMs through text-prompt attack templates, imperceptible visual perturbations, and an eight-dimensional risk assessment rubric. The framework evaluated 68,478 attack scenarios across five state-of-the-art models.
Recommended citation: Sadanandan, B., & Behzadan, V. (2025). VSF-Med: A Vulnerability Scoring Framework for Medical Vision-Language Models. IEEE ISBI 2026.
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