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AliMark framework enhances sentence watermarking against paraphrasing

Researchers have introduced AliMark, a novel framework designed to enhance the robustness of sentence-level watermarking against paraphrasing. Unlike previous methods that anchor watermarks in sentence semantics and are vulnerable to structural changes, AliMark treats watermarking as an encoding and alignment problem. It employs a two-stage detection strategy involving multiple restructured text variants and adaptive alignment to minimize costs, thereby improving resilience against sentence splitting and merging. AI

RANK_REASON This is a research paper detailing a new framework for watermarking text. [lever_c_demoted from research: ic=1 ai=1.0]

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AliMark framework enhances sentence watermarking against paraphrasing

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  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: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing

    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…