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English(EN) SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness

新的SAMark水印技术在释义攻击下实现90%的鲁棒性

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了SAMark，一个新颖的自锚定文本水印框架，旨在抵御段落级释义攻击。与依赖句子顺序的先前方法不同，SAMark在语义空间中建立了一个与步骤无关的区域，使其能够抵抗干扰。该框架包含一个多通道双曲评分机制来增强信号检测，以及一个感知多样性的过滤策略来管理语义冗余。实验表明SAMark性能优越，在1%的误报率下实现了超过90%的真阳性率，同时保持了文本生成质量。 AI

影响 这项新的水印技术可以增强AI生成文本的安全性与可追溯性，使其更难隐藏或篡改内容。

排序理由 该集群包含一篇详细介绍文本水印新方法的学术论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的SAMark水印技术在释义攻击下实现90%的鲁棒性

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该集群包含一篇详细介绍文本水印新方法的学术论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jiahao Huo, Wenjie Qu, Yibo Yan, Kening Zheng, Jiaheng Zhang, Xuming Hu, Philip S. Yu, Mingxun Zhou ·

    SAMark：一种具有段落级释义鲁棒性的自锚定文本水印

    arXiv:2605.25796v1 Announce Type: cross Abstract: Semantic-level watermarking (SWM) improves robustness against text modifications by treating sentences as the basic unit. However, robustness to paragraph-level paraphrasing remains difficult because such attacks globally disrupt …

  2. arXiv cs.AI TIER_1 English(EN) · Mingxun Zhou ·

    SAMark：一种具有段落级释义鲁棒性的自锚定文本水印

    Semantic-level watermarking (SWM) improves robustness against text modifications by treating sentences as the basic unit. However, robustness to paragraph-level paraphrasing remains difficult because such attacks globally disrupt watermark signals by changing sentence order. In t…

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