English(EN) LLMs can contain nasty backdoors AND YOU CAN'T FIND THEM Any open model whose weights have been edited can carry a backdoor, whether it's a task-specific fine-t

研究人员演示开源LLM中的隐藏后门

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 05:09

研究人员已证明，开源大型语言模型（LLM）可能隐藏着后门，即使在微调或与其他模型合并后也是如此。这些漏洞难以检测，并且可以被故意植入模型中。已成功创建了一个概念验证后门，以说明实施此类恶意修改的容易程度。 AI

影响凸显了开源LLM中的重大安全风险，可能影响信任和采用。

排序理由演示了开源LLM中的安全漏洞。[lever_c_demoted from research: ic=1 ai=1.0]

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Signal score: 8 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 演示了开源LLM中的安全漏洞。[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.
Topics: safety, model release; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-19 05:09

大型语言模型可能包含难以察觉的后门，且你无法找到它们。任何权重被编辑过的开放模型都可能携带后门，无论是针对特定任务的微调模型

LLMs can contain nasty backdoors AND YOU CAN'T FIND THEM Any open model whose weights have been edited can carry a backdoor, whether it's a task-specific fine-tune, a merged adapter or an abliterated build. We built one to see what it takes, https:// projectdiscovery.io/research/…

链接 projectdiscovery.io/…/how-abliterated-mod…

本文如何被排名

报道来源 [1]

大型语言模型可能包含难以察觉的后门，且你无法找到它们。任何权重被编辑过的开放模型都可能携带后门，无论是针对特定任务的微调模型

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