2026
Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models
CVPR 2026
The rapid progress of Multi-Modal Large Language Models (MLLMs) has significantly advanced downstream applications. However, this progress also exposes serious transferable adversarial vulnerabilities. In general, existing adversarial attacks against MLLMs typically rely on surrogate models trained