English(EN) Market Signal Injection: Adversarial Context Manipulation of LLM Pricing Agents

新攻击通过改变市场数据呈现方式来操纵LLM定价代理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 04:00

研究人员开发了一种名为市场信号注入（MSI）的新攻击方法，该方法通过改变市场数据的呈现方式而非其数值来操纵大型语言模型（LLM）定价代理。这种攻击可以通过改变格式、竞争对手排序或定性评论来影响LLM的行为，从而导致利润和消费者剩余的变化。虽然不同模型家族和规模的易感性各不相同，但输入规范化和决策边界锚定作为缓解策略显示出希望。 AI

影响突显了LLM代理的一个新漏洞，可能影响金融市场并需要新的防御机制。

排序理由详细介绍LLM新攻击向量的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 详细介绍LLM新攻击向量的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Dohun Lee, Hyunwoo Park · 2026-09-17 04:00

市场信号注入：LLM定价代理的对抗性上下文操纵

arXiv:2609.18357v1 Announce Type: new Abstract: Large language model (LLM) pricing agents may respond to how market data is presented, even when its numerical values remain unchanged. We introduce market signal injection (MSI), an attack that manipulates numerical formatting, com…

本文如何被排名

报道来源 [1]

市场信号注入：LLM定价代理的对抗性上下文操纵

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