A survey of text watermarking in the era of large language models

A Liu, L Pan, Y Lu, J Li, X Hu, X Zhang, L Wen… - ACM Computing …, 2024 - dl.acm.org
Text watermarking algorithms are crucial for protecting the copyright of textual content.
Historically, their capabilities and application scenarios were limited. However, recent …

Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense

K Krishna, Y Song, M Karpinska… - Advances in Neural …, 2023 - proceedings.neurips.cc
The rise in malicious usage of large language models, such as fake content creation and
academic plagiarism, has motivated the development of approaches that identify AI …

[PDF][PDF] Trustllm: Trustworthiness in large language models

L Sun, Y Huang, H Wang, S Wu, Q Zhang… - ar** the increasing use of LLMs in scientific papers
W Liang, Y Zhang, Z Wu, H Lepp, W Ji, X Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Scientific publishing lays the foundation of science by disseminating research findings,
fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge …

Protecting intellectual property of large language model-based code generation apis via watermarks

Z Li, C Wang, S Wang, C Gao - Proceedings of the 2023 ACM SIGSAC …, 2023 - dl.acm.org
The rise of large language model-based code generation (LLCG) has enabled various
commercial services and APIs. Training LLCG models is often expensive and time …