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

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

The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large
language models, has marked a new era where AI-generated multimedia is increasingly …

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 …

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 …

Existing watermarking algorithms are vulnerable to paraphrase attacks because of their
token-level design. To address this issue, we propose SemStamp, a robust sentence-level …

Machine-Generated Text (MGT) detection, a task that discriminates MGT from Human-
Written Text (HWT), plays a crucial role in preventing misuse of text generative models …

Abstract Machine-Generated Text (MGT) detection, a task that discriminates MGT from
Human-Written Text (HWT), plays a crucial role in preventing misuse of text generative …

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 …

Fake reviews corrode the trust between businesses and consumers and distort the online
image of a service or a product. The problem of fake review contamination is only going to …