[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Y Yao, J Duan, K Xu, Y Cai, Z Sun, Y Zhang - High-Confidence Computing, 2024 - Elsevier
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

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 …

A survey on detection of llms-generated content

X Yang, L Pan, X Zhao, H Chen, L Petzold… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

On-device language models: A comprehensive review

J Xu, Z Li, W Chen, Q Wang, X Gao, Q Cai… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of large language models (LLMs) revolutionized natural language processing
applications, and running LLMs on edge devices has become increasingly attractive for …

Unique security and privacy threats of large language model: A comprehensive survey

S Wang, T Zhu, B Liu, M Ding, X Guo, D Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
With the rapid development of artificial intelligence, large language models (LLMs) have
made remarkable advancements in natural language processing. These models are trained …

Detecting ai-generated text: Factors influencing detectability with current methods

KC Fraser, H Dawkins, S Kiritchenko - arXiv preprint arXiv:2406.15583, 2024 - arxiv.org
Large language models (LLMs) have advanced to a point that even humans have difficulty
discerning whether a text was generated by another human, or by a computer. However …

Adaptive text watermark for large language models

Y Liu, Y Bu - arXiv preprint arXiv:2401.13927, 2024 - arxiv.org
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 …

Improving the generation quality of watermarked large language models via word importance scoring

Y Li, Y Wang, Z Shi, CJ Hsieh - arXiv preprint arXiv:2311.09668, 2023 - arxiv.org
The strong general capabilities of Large Language Models (LLMs) bring potential ethical
risks if they are unrestrictedly accessible to malicious users. Token-level watermarking …

Large Language Models for Cyber Resilience: A Comprehensive Review, Challenges, and Future Perspectives

W Ding, M Abdel-Basset, AM Ali, N Moustafa - Applied Soft Computing, 2024 - Elsevier
Interconnect cyber system is used by various users and organizations worldwide to perform
different activities. These activities are combined with digital information and systems around …

Watermarking Techniques for Large Language Models: A Survey

Y Liang, J Xiao, W Gan, PS Yu - arXiv preprint arXiv:2409.00089, 2024 - arxiv.org
With the rapid advancement and extensive application of artificial intelligence technology,
large language models (LLMs) are extensively used to enhance production, creativity …