Stop reasoning! When multimodal LLMs with chain-of-thought reasoning meets adversarial images
Recently, Multimodal LLMs (MLLMs) have shown a great ability to understand images. However, like traditional vision models, they are still vulnerable to adversarial images. Meanwhile, Chain-of-Thought (CoT) reasoning has been widely explored on MLLMs, which not only improves model’s performance, but...
| Главные авторы: | , , , , , , , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE
2024
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