English(EN) Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign

新的RoSeMary框架在LLM生成的代码中嵌入安全水印

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-12 04:00

研究人员开发了RoSeMary，一个用于大型语言模型生成代码的水印框架。该系统结合了机器学习和密码学来嵌入水印，这些水印可以安全地验证而无需泄露底层签名，从而保护知识产权并防止滥用。RoSeMary利用预训练的CodeT5模型，确保带水印的代码保持其功能性，同时增强可检测性和对各种攻击的鲁棒性。 AI

影响增强了LLM生成代码的安全性和知识产权保护，可能影响软件开发工作流程。

排序理由该项目是一篇研究论文，详细介绍了一种用于LLM生成代码的新水印方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Newsworthiness bucket: Tool; 该项目是一篇研究论文，详细介绍了一种用于LLM生成代码的新水印方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Ruisi Zhang, Neusha Javidnia, Nojan Sheybani, Farinaz Koushanfar · 2026-08-12 04:00

通过机器学习/密码学协同设计实现大型语言模型的鲁棒且安全的代码水印

arXiv:2502.02068v3 Announce Type: replace-cross Abstract: This paper introduces RoSeMary, the first-of-its-kind ML/Crypto codesign watermarking framework that regulates LLM-generated code to avoid intellectual property rights violations and inappropriate misuse in software develo…

本文如何被排名

报道来源 [1]

通过机器学习/密码学协同设计实现大型语言模型的鲁棒且安全的代码水印

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