English(EN) Arbitrary Cipher Attacks Against Large Language Models Do Not Require Fine-Tuning

新型密码攻击无需微调即可绕过大型语言模型安全防护

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 04:00

研究人员展示了一种针对大型语言模型的新型攻击方式，该方式无需微调即可绕过安全措施。这些“任意密码攻击”涉及在加密的有害问题和响应上训练模型，使模型能够通过学习到的加密方案进行通信。这种方法显著削弱或完全绕过了模型对齐和有害性分类器，因为加密内容被视为乱码。该研究成功地针对Anthropic、Google和OpenAI的前沿模型执行了这些攻击，揭示了商用黑盒大型语言模型的一种新颖漏洞。 AI

影响这项研究揭示了一种绕过大型语言模型安全过滤器的新方法，可能影响已部署人工智能系统的安全性和可靠性。

排序理由详细介绍针对大型语言模型的新型攻击向量的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Signal score: 16 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 详细介绍针对大型语言模型的新型攻击向量的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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arXiv cs.AI TIER_1 English(EN) · Thomas Rivasseau · 2026-09-11 04:00

针对大型语言模型的任意密码攻击无需微调

arXiv:2609.09553v1 Announce Type: cross Abstract: Large language model safety and security research is preoccupied with, among other things, detecting and preventing jailbreak attacks: alignment bypasses that allow an adversarial user to elicit unwanted or harmful outputs from mo…

本文如何被排名

报道来源 [1]

针对大型语言模型的任意密码攻击无需微调

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