LLM (Large Language Model) 的滥用可能导致许多问题,这可以通过给 LLM 输出添加水印来缓解。文章作者提出了一种巧妙的添加水印的方法,在这种方法中作者随机选取一个 green tokens 集,并鼓励模型输出从该集合中选取 token,从而小成本地、隐式地为文本添加水印。 同时在该框架内部,检测水印的方法也不需要提前获得 LLM...
作者提出了一种巧妙的方法，通过随机选取一个“绿色”token集合，鼓励模型输出来自该集合的token，实现低成本、隐式的文本水印。在框架内部，检测水印的方法无需提前获取LLM的API或模型参数，基于统计方法即可分析水印的存在。
实验用的OPT-1.3B,测试对水印的攻击时用了T5-Large,总体感觉不算很典型的LLM,但也能说明不少问题了。
Large Language Models (LLMs) have achieved remarkable progress in code generation. It now becomes crucial to identify whether the code is AI-generated and to determine the specific model used, particularly for purposes such as protecting Intellectual Property (IP) in industry and preventing cheating...
This paper presents a new method for embedding digital watermarks into Bezier surface patches.An object surface is supposed to be represented by multiple piecewise Bezier surface patches.A Bezier patch passes through its four-corner control points,to embed a watermark,a Bezier patch is divided into...
python detect_watermark_cifar10.py the detection accuracy will be printed (remember to specify the predefined binary watermark string in the script). Text-to-Image Diffusion Models Environment-3 A suitable conda environment named ldm can be created and activated with: conda env create -f ldm.ym...
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Paper tables with annotated results for CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code
DIFFUSIONSHIELD: A WATERMARK FOR DATA COPY- RIGHT PROTECTION AGAINST GENERATIVE DIFFUSION MODELS阅读笔记 pog po 创作声明:包含 AI 辅助创作 2 人赞同了该文章 原文链接 Motivation and Background 现有的水印方法无法有效在GDMs上添加水印,本文认为这是因为水印的在不同的图片中不同导致的,本文提出在不同的...
Paper tables with annotated results for A Watermark for Low-entropy and Unbiased Generation in Large Language Models