DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models arXiv:2605.18868v1 Announce Type: new Abstract: While vision and multimodal foundation models underpin critical tasks from perception to complex reasoning, they remain highly vulnerable to adversarial attacks. However, traditional adversarial attacks are typically limited to single, predefined objectives, tightly coupling each attack to a specific model or task, which restricts their scalability…

https://arxiv.org/abs/2605.18868

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