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English(EN) "Automatic licence plate recognition cameras are in the spotlight as citizens across North America question their use by municipalities and law enforcement agen

LLM推理轨迹被解密,暴露知识产权和个人身份信息

研究人员发现大型语言模型存在一个漏洞,可以解密逐步推理(或称思维链)轨迹。该漏洞影响Anthropic、OpenAI和Google等提供商,源于在生态系统内的不同会话和模型之间,加密推理块的可互换性。该漏洞可用于提取专有模型推理,导致知识产权被盗,并可能大规模提取私人数据,从公共存储库中恢复个人身份信息和凭证即是例证。 AI

影响 该漏洞可能导致知识产权被盗和大规模数据泄露,迫使LLM提供商重新评估其安全措施。

排序理由 研究论文详细介绍了LLM思维链加密中的一个漏洞。

在 Mastodon — mastodon.social 阅读 →

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LLM推理轨迹被解密,暴露知识产权和个人身份信息

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Research
研究论文详细介绍了LLM思维链加密中的一个漏洞。
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2 independent sources
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Topics
safety, model release
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Same-day
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报道来源 [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    自动车牌识别摄像头成焦点,北美公民质疑市政当局和执法部门的使用

    "Automatic licence plate recognition cameras are in the spotlight as citizens across North America question their use by municipalities and law enforcement agencies — with some critics calling them a tool for ‘mass surveillance.’ One company in particular, Flock Safety, has found…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    领先的大型语言模型提供商现已隐藏其模型的逐步推理(思维链),以保护知识产权并限制信息泄露

    "Leading large language model providers now conceal their models’ step-by-step reasoning, or chain-of-thought, to protect intellectual property and limit information leakage. Rather than storing these traces server-side, providers return them to the client as blocks of encrypted …