paperAugust 2026Unreviewed

DHMark: Public-Key Watermarking for LLM-Generated Text via Diffie-Hellman-Guided Rejection Sampling

Haocheng Fu, Yuqi Qian, Luyao Wang, Yun Cao

Abstract

Large language model (LLM) watermarking provides an important mechanism for tracing the provenance of generated text. Existing statistical watermarks are often effective and robust, but most of them rely on private detection keys, which centralizes verification and complicates public auditing. Recent public or publicly verifiable watermarking schemes improve key management, yet many of them rely on exact recovery of embedded cryptographic strings, making them fragile under token edits, truncatio

Cite

@misc{fu2026dhmark,
  title = {{DHMark: Public-Key Watermarking for LLM-Generated Text via Diffie-Hellman-Guided Rejection Sampling}},
  author = {Haocheng Fu and Yuqi Qian and Luyao Wang and Yun Cao},
  year = {2026},
  month = aug,
  eprint = {2608.03093},
  archivePrefix = {arXiv},
  url = {https://www.semanticscholar.org/paper/f608d33b9ba8096c43e1c197f358157014cdcea7}
}