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Anthropic· @AnthropicAI · X·· 2025-10-10
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联合研究发现,仅需少量恶意文档就能在 LLM 中植入安全漏洞,且不受模型规模或训练数据量影响。这表明数据投毒攻击的实施门槛可能比此前认为的更低,实际威胁被低估。

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New research with the UK @AISecurityInst and the @turinginst:

We found that just a few malicious documents can produce vulnerabilities in an LLM—regardless of the size of the model or its training data.

Data-poisoning attacks might be more practical than previously believed. https://t.co/TXOCY9c25t

来源:Anthropic · x.com