---
id: 20260516-T0-01
title: "研究人员发现推理解码攻击新方法，可窃取AI模型数据"
title_en: "New Attack on Speculative Decoding Exposes Model Data"
url: https://ai.daily.yangsir.net/daily/20260516-T0-01
issue_date: 2026-05-16
publish_date: 2026-05-15T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2605.14005
---

# 研究人员发现推理解码攻击新方法，可窃取AI模型数据

研究人员提出名为“Mistletoe”的新型攻击方法，可针对投机解码技术窃取大模型数据。该攻击利用推理过程中的漏洞，能以70%成功率提取训练数据。论文指出，所有主流LLM均受此威胁，开发者需立即部署防御措施。此研究引发业界对AI安全性的重新评估。

## English Version

**New Attack on Speculative Decoding Exposes Model Data**

Researchers propose 'Mistletoe' attack targeting speculative decoding, stealing LLM training data with 70% success rate by exploiting inference process flaws. All mainstream LLMs are vulnerable; developers must deploy defenses immediately. This study triggers industry reassessment of AI security.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2605.14005)

**详情页**：https://ai.daily.yangsir.net/daily/20260516-T0-01

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