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Main Authors: Wang, Yangkun, Shang, Jingbo
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2512.10185
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author Wang, Yangkun
Shang, Jingbo
author_facet Wang, Yangkun
Shang, Jingbo
contents A recent watermarking scheme for language models achieves distortion-free embedding and robustness to edit-distance attacks. However, it suffers from limited generation diversity and high detection overhead. In parallel, recent research has focused on undetectability, a property ensuring that watermarks remain difficult for adversaries to detect and spoof. In this work, we introduce a new class of watermarking schemes constructed through probabilistic automata. We present two instantiations: (i) a practical scheme with exponential generation diversity and computational efficiency, and (ii) a theoretical construction with formal undetectability guarantees under cryptographic assumptions. Extensive experiments on LLaMA-3B and Mistral-7B validate the superior performance of our scheme in terms of robustness and efficiency.
format Preprint
id arxiv_https___arxiv_org_abs_2512_10185
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Watermarks for Language Models via Probabilistic Automata
Wang, Yangkun
Shang, Jingbo
Cryptography and Security
Computation and Language
A recent watermarking scheme for language models achieves distortion-free embedding and robustness to edit-distance attacks. However, it suffers from limited generation diversity and high detection overhead. In parallel, recent research has focused on undetectability, a property ensuring that watermarks remain difficult for adversaries to detect and spoof. In this work, we introduce a new class of watermarking schemes constructed through probabilistic automata. We present two instantiations: (i) a practical scheme with exponential generation diversity and computational efficiency, and (ii) a theoretical construction with formal undetectability guarantees under cryptographic assumptions. Extensive experiments on LLaMA-3B and Mistral-7B validate the superior performance of our scheme in terms of robustness and efficiency.
title Watermarks for Language Models via Probabilistic Automata
topic Cryptography and Security
Computation and Language
url https://arxiv.org/abs/2512.10185