Awesome-LLM-Watermark
This repository compiles a diverse range of academic papers on watermarking techniques applied to text and images in large language models (LLMs). Covering subjects like statistical frameworks, lossless watermarking, and robust methods, it provides a structured look at both text and image watermarking. Researchers can find varied approaches addressing different challenges such as semantic integrity and adversarial resistance. It is a crucial resource for those examining the complexities of watermarking technology in LLMs, focusing on content protection, authenticity, and intellectual property.
