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News/AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
arxiv
PublishedMay 29, 2026 at 4:00 AM
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AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing

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arxiv.orgfull article ↗
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Publisher summary· verbatim

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 splitting and merging,

Models mentioned
01
  • 01openai logo
    gpt-3.5
    openai/gpt-3.5
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Mentioned models
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    DIPPER
  • 02
    gpt-3.5
    openai/gpt-3.5
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Tags
04
#watermarking#paraphrasing#robustness#security
Mentioned companies
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OpenAI

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Mentioned models
02
  • 01
    DIPPER
  • 02
    gpt-3.5
    openai/gpt-3.5
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#watermarking#paraphrasing#robustness#security
Mentioned companies
01
OpenAI

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