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English(EN) DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack

新的水印方法增强大语言模型安全性,抵御攻击并改进归因

研究人员开发了新的大语言模型(LLM)水印方法,以保护知识产权并防止滥用。Hao Li及其同事提出的DualGuard,通过注入两个互补的水印信号,旨在防御释义和仿冒攻击。另外,Ya Jiang及其合作者引入了MirrorMark,一种嵌入多比特消息而不扭曲文本质量或采样分布的技术,增强了鲁棒性和可检测性。 AI

影响 新的水印技术旨在改进大语言模型的归因和安全性,以抵御复杂的攻击。

排序理由 该集群包含两篇详细介绍大语言模型水印新方法的学术论文。

在 arXiv cs.CL 阅读 →

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新的水印方法增强大语言模型安全性,抵御攻击并改进归因

报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Shi Wang, Li Guo ·

    DualGuard:双流大语言模型水印防御释义和欺骗攻击

    arXiv:2512.16182v2 Announce Type: replace-cross Abstract: With the rapid development of cloud-based services, large language models have become increasingly accessible through various web platforms. However, this accessibility has also led to growing risks of model abuse. LLM wat…

  2. arXiv cs.AI TIER_1 English(EN) · Ya Jiang, Massieh Kordi Boroujeny, Surender Suresh Kumar, Kai Zeng ·

    MirrorMark:大型语言模型的无失真多比特水印

    arXiv:2601.22246v2 Announce Type: replace-cross Abstract: As large language models (LLMs) become integral to applications such as question answering and content creation, reliable content attribution has become increasingly important. Watermarking is a promising approach, but exi…