---
id: 20260602-T0-09
title: "研究揭示LLM水印在多模型环境下失效"
title_en: "Linear Ensembles Break LLM Watermark Detection"
url: https://ai.daily.yangsir.net/daily/20260602-T0-09
issue_date: 2026-06-02
publish_date: 2026-06-01T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2605.30501
---

# 研究揭示LLM水印在多模型环境下失效

研究表明，当用户访问多个AI模型时，文本水印技术会完全失效。水印通过统计签名检测AI生成内容，但在多模型场景下，输出分布扰动导致水印被轻易洗除。

## English Version

**Linear Ensembles Break LLM Watermark Detection**

Research reveals that watermarking for AI-generated text fails when users access multiple models. The statistical signatures embedded in watermarks are trivially washed away by distributional perturbations in multi-model environments.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2605.30501)

**详情页**：https://ai.daily.yangsir.net/daily/20260602-T0-09

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