Security Analysis of ChatGPT: Threats and Privacy Risks
Yushan Xiang, Zhongwen Li, Xiaoqi Li

TL;DR
This paper systematically analyzes security threats and privacy risks of ChatGPT, including vulnerabilities, ethical issues, and explores attack-defense scenarios and potential for security tool development.
Contribution
It provides a comprehensive analysis of ChatGPT's vulnerabilities, ethical concerns, and evaluates its use in security testing and tool generation.
Findings
Identified key vulnerabilities and their causes.
Simulated attack and defense scenarios.
Explored ChatGPT's potential in security vulnerability detection.
Abstract
As artificial intelligence technology continues to advance, chatbots are becoming increasingly powerful. Among them, ChatGPT, launched by OpenAI, has garnered widespread attention globally due to its powerful natural language processing capabilities based on the GPT model, which enables it to engage in natural conversations with users, understand various forms of linguistic expressions, and generate useful information and suggestions. However, as its application scope expands, user demand grows, and malicious attacks related to it become increasingly frequent, the security threats and privacy risks faced by ChatGPT are gradually coming to the forefront. In this paper, the security of ChatGPT is mainly studied from two aspects, security threats and privacy risks. The article systematically analyzes various types of vulnerabilities involved in the above two types of problems and their…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
