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20222026
most citedEnhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

2 citations · 3 across the 9 of their papers we have counts for

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cs.CR2025

Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks

Huanming Shen, Baizhou Huang, Xiaojun Wan

Watermarking is a promising defense against the misuse of large language models (LLMs), yet it remains vulnerable to scrubbing and spoofing attacks. This vulnerability stems from a…

cs.CR2024

WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness

Baizhou Huang, Xiaojun Wan

With the increasing use of large language models (LLMs) in daily life, concerns have emerged regarding their potential misuse and societal impact. Watermarking is proposed to trace…