2 papers
cs.CR2025
A Fingerprint for Large Language Models
Zhiguang Yang, Hanzhou Wu
Recent advances confirm that large language models (LLMs) can achieve state-of-the-art performance across various tasks. However, due to the resource-intensive nature of training L…
cs.CR2025
Yet Another Watermark for Large Language Models
Siyuan Bao, Ying Shi, Zhiguang Yang +2
Existing watermarking methods for large language models (LLMs) mainly embed watermark by adjusting the token sampling prediction or post-processing, lacking intrinsic coupling with…