The Security of Using Large Language Models: A Survey with Emphasis on ChatGPT

被引:0
|
作者
Zhou, Wei [1 ]
Zhu, Xiaogang [2 ]
Han, Qing-Long [1 ]
Li, Lin [3 ]
Chen, Xiao [4 ]
Wen, Sheng [1 ]
Xiang, Yang [1 ]
机构
[1] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Hawthorn, Vic 3122, Australia
[2] Univ Adelaide, Sch Comp & Math Sci, Adelaide, SA 5005, Australia
[3] Southern Cross Univ, Fac Sci & Engn, Gold Coast, Qld 4225, Australia
[4] Univ Newcastle, Sch Informat & Phys Sci, Callaghan, NSW 2308, Australia
关键词
Artificial intelligence; Security; Surveys; Chatbots; Ethics; Data models; Large language models; Fake news; Safety; Privacy; Artificial intelligence (AI); ChatGPT; large language models (LLMs); security;
D O I
10.1109/JAS.2024.124983
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
ChatGPT is a powerful artificial intelligence (AI) language model that has demonstrated significant improvements in various natural language processing (NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse, attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future directions. Through this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.
引用
收藏
页码:1 / 26
页数:26
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