{
  "id": 3533,
  "url": "https://arxiv.org/abs/2605.29434v1",
  "title": "AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing",
  "summary": "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, which commonly arise under strong paraphrasers like DIPPER and GPT-3.5. To mitigate this issue, we propose AliMark, a framework that reformulates sentence-level watermarking as a bit sequence encoding and alignment problem between a potentially water",
  "authors": "Yuexin Li, Wenjie Qu, Linyu Wu, Yulin Chen, Yufei He, Tri Cao et al.",
  "category": "research",
  "topics": "safety-alignment,environment",
  "orgs": "openai",
  "regions": null,
  "published_at": "2026-05-28T06:30:43.000Z",
  "fetched_at": "2026-07-14T16:30:18.856Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3533",
  "original_url": "https://arxiv.org/abs/2605.29434v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}