A survey of text watermarking in the era of large language models
Text watermarking algorithms are crucial for protecting the copyright of textual content.
Historically, their capabilities and application scenarios were limited. However, recent …
Historically, their capabilities and application scenarios were limited. However, recent …
Preventing and detecting misinformation generated by large language models
As large language models (LLMs) become increasingly capable and widely deployed, the
risk of them generating misinformation poses a critical challenge. Misinformation from LLMs …
risk of them generating misinformation poses a critical challenge. Misinformation from LLMs …
Markllm: An open-source toolkit for llm watermarking
LLM watermarking, which embeds imperceptible yet algorithmically detectable signals in
model outputs to identify LLM-generated text, has become crucial in mitigating the potential …
model outputs to identify LLM-generated text, has become crucial in mitigating the potential …
Revisiting the Robustness of Watermarking to Paraphrasing Attacks
Amidst rising concerns about the internet being proliferated with content generated from
language models (LMs), watermarking is seen as a principled way to certify whether text …
language models (LMs), watermarking is seen as a principled way to certify whether text …
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
Text watermarking for Large Language Models (LLMs) has made significant progress in
detecting LLM outputs and preventing misuse. Current watermarking techniques offer high …
detecting LLM outputs and preventing misuse. Current watermarking techniques offer high …
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
Watermarking enables people to determine whether the text is generated by a specific
model. It injects a unique signature based on the “green-red” list that can be tracked during …
model. It injects a unique signature based on the “green-red” list that can be tracked during …
Downstream Trade-offs of a Family of Text Watermarks
Watermarking involves implanting an imperceptible signal into generated text that can later
be detected via statistical tests. A prominent family of watermarking strategies for LLMs …
be detected via statistical tests. A prominent family of watermarking strategies for LLMs …
A Certified Robust Watermark For Large Language Models
X Feng, J Liu, K Ren, C Chen - arXiv preprint arXiv:2409.19708, 2024 - arxiv.org
The effectiveness of watermark algorithms in AI-generated text identification has garnered
significant attention. Concurrently, an increasing number of watermark algorithms have been …
significant attention. Concurrently, an increasing number of watermark algorithms have been …