Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Text watermarking algorithms are crucial for protecting the copyright of textual content.
Historically, their capabilities and application scenarios were limited. However, recent …

The remarkable ability of large language models (LLMs) to comprehend, interpret, and
generate complex language has rapidly integrated LLM-generated text into various aspects …

We present an approach for estimating the fraction of text in a large corpus which is likely to
be substantially modified or produced by a large language model (LLM). Our maximum …

The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT
have led to an increase in synthetic content generation with implications across a variety of …

Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …

LLM watermarking has attracted attention as a promising way to detect AI-generated
content, with some works suggesting that current schemes may already be fit for …

The widespread use of large language models (LLMs) is increasing the demand for
methods that detect machine-generated text to prevent misuse. The goal of our study is to …

As the outputs of generative AI (GenAI) techniques improve in quality, it becomes
increasingly challenging to distinguish them from human-created content. Watermarking …

The advancement of Large Language Models (LLMs) has led to increasing concerns about
the misuse of AI-generated text, and watermarking for LLM-generated text has emerged as a …