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English(EN) AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing

AliMark框架增强句子水印对释义的鲁棒性

研究人员推出AliMark,一个旨在增强句子级水印对释义鲁棒性的新框架。与以往将水印锚定在句子语义且易受结构变化影响的方法不同,AliMark将水印视为一个编码和对齐问题。它采用两阶段检测策略,涉及多个重构文本变体和自适应对齐,以最小化成本,从而提高对句子分割和合并的抵抗力。 AI

排序理由 这是一篇详细介绍新水印框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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AliMark框架增强句子水印对释义的鲁棒性

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这是一篇详细介绍新水印框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, safety
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
132 days old
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yuexin Li, Wenjie Qu, Linyu Wu, Yulin Chen, Yufei He, Tri Cao, Bryan Hooi, Jiaheng Zhang ·

    AliMark:增强句级水印对文本释义的鲁棒性

    arXiv:2605.29434v1 Announce Type: cross Abstract: Existing sentence-level watermarking methods enhance robustness to paraphrasing by anchoring watermarks in sentence semantics. However, their prefix-based designs remain vulnerable to structural perturbations, such as sentence spl…