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This report presents a real-world case study demonstrating how prompt injection can attack large language model platforms such as ChatGPT according to a proposed injection framework. By providing three real-world examples, we show how…

密码学与安全 · 计算机科学 2025-04-24 Xiangyu Chang , Guang Dai , Hao Di , Haishan Ye

Large language models and AI chatbots have been at the forefront of democratizing artificial intelligence. However, the releases of ChatGPT and other similar tools have been followed by growing concerns regarding the difficulty of…

密码学与安全 · 计算机科学 2024-02-05 Sippo Rossi , Alisia Marianne Michel , Raghava Rao Mukkamala , Jason Bennett Thatcher

Large Language Models (LLMs) are increasingly being integrated into various applications. The functionalities of recent LLMs can be flexibly modulated via natural language prompts. This renders them susceptible to targeted adversarial…

密码学与安全 · 计算机科学 2023-05-08 Kai Greshake , Sahar Abdelnabi , Shailesh Mishra , Christoph Endres , Thorsten Holz , Mario Fritz

The growing deployment of large language model (LLM) based agents that interact with external environments has created new attack surfaces for adversarial manipulation. One major threat is indirect prompt injection, where attackers embed…

计算与语言 · 计算机科学 2026-04-14 Hwan Chang , Yonghyun Jun , Hwanhee Lee

Large language model (LLM) services have recently begun offering a plugin ecosystem to interact with third-party API services. This innovation enhances the capabilities of LLMs, but it also introduces risks, as these plugins developed by…

密码学与安全 · 计算机科学 2024-04-29 Wanru Zhao , Vidit Khazanchi , Haodi Xing , Xuanli He , Qiongkai Xu , Nicholas Donald Lane

As LLMs are increasingly integrated into systems that browse, retrieve, summarize, and act on web content, webpages have become an untrusted input vector for downstream model behavior. This enables site owners, contributors, and adversaries…

密码学与安全 · 计算机科学 2026-05-01 Soheil Khodayari , Xuenan Zhang , Bhupendra Acharya , Giancarlo Pellegrino

Recent studies demonstrate that Large Language Models (LLMs) are vulnerable to different prompt-based attacks, generating harmful content or sensitive information. Both closed-source and open-source LLMs are underinvestigated for these…

密码学与安全 · 计算机科学 2025-05-21 Jiawen Wang , Pritha Gupta , Ivan Habernal , Eyke Hüllermeier

LLM-based chatbot agents increasingly process user requests by combining natural-language reasoning with external tools such as web browsing. These capabilities improve usability, but they also create attack surfaces when untrusted external…

密码学与安全 · 计算机科学 2026-05-19 Hongjang Yang , Hyunsik Na , Daeseon Choi

Large Language Models (LLMs) are deployed in interactive contexts with direct user engagement, such as chatbots and writing assistants. These deployments are vulnerable to prompt injection and jailbreaking (collectively, prompt hacking), in…

In the rapidly evolving landscape of artificial intelligence, ChatGPT has been widely used in various applications. The new feature - customization of ChatGPT models by users to cater to specific needs has opened new frontiers in AI…

密码学与安全 · 计算机科学 2024-05-28 Jiahao Yu , Yuhang Wu , Dong Shu , Mingyu Jin , Sabrina Yang , Xinyu Xing

As ChatGPT and other Large Language Model (LLM)-based AI chatbots become increasingly integrated into individuals' daily lives, important research questions arise. What concerns and risks do these systems pose for individual users? What…

计算机与社会 · 计算机科学 2025-08-15 Chengen Wang , Murat Kantarcioglu

Large language models (LLMs) have profoundly transformed natural language applications, with a growing reliance on instruction-based definitions for designing chatbots. However, post-deployment the chatbot definitions are fixed and are…

机器学习 · 计算机科学 2024-02-20 Reshabh K Sharma , Vinayak Gupta , Dan Grossman

This study systematically analyzes the vulnerability of 36 large language models (LLMs) to various prompt injection attacks, a technique that leverages carefully crafted prompts to elicit malicious LLM behavior. Across 144 prompt injection…

Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be intuitive and user-friendly, allowing users to articulate…

Large Language Models (LLMs), renowned for their superior proficiency in language comprehension and generation, stimulate a vibrant ecosystem of applications around them. However, their extensive assimilation into various services…

密码学与安全 · 计算机科学 2025-12-30 Yi Liu , Gelei Deng , Yuekang Li , Kailong Wang , Zihao Wang , Xiaofeng Wang , Tianwei Zhang , Yepang Liu , Haoyu Wang , Yan Zheng , Leo Yu Zhang , Yang Liu

Large language models (LLMs) have gained widespread adoption across diverse applications due to their impressive generative capabilities. Their plug-and-play nature enables both developers and end users to interact with these models through…

密码学与安全 · 计算机科学 2025-10-21 Zongze Li , Jiawei Guo , Haipeng Cai

The recent popularity of large language models (LLMs) has brought a significant impact to boundless fields, particularly through their open-ended ecosystem such as the APIs, open-sourced models, and plugins. However, with their widespread…

机器学习 · 计算机科学 2023-08-31 Wentao Ye , Mingfeng Ou , Tianyi Li , Yipeng chen , Xuetao Ma , Yifan Yanggong , Sai Wu , Jie Fu , Gang Chen , Haobo Wang , Junbo Zhao

Large Language Models (LLMs) have seen rapid adoption in recent years, with industries increasingly relying on them to maintain a competitive advantage. These models excel at interpreting user instructions and generating human-like…

密码学与安全 · 计算机科学 2025-09-09 Andrew Yeo , Daeseon Choi

Large language models (LLMs) demonstrate powerful information handling capabilities and are widely integrated into chatbot applications. OpenAI provides a platform for developers to construct custom GPTs, extending ChatGPT's functions and…

密码学与安全 · 计算机科学 2025-06-05 Wei Wenying , Zhao Kaifa , Xue Lei , Fan Ming

Large language models (LLMs) are becoming a popular tool as they have significantly advanced in their capability to tackle a wide range of language-based tasks. However, LLMs applications are highly vulnerable to prompt injection attacks,…

计算与语言 · 计算机科学 2024-11-11 Md Abdur Rahman , Fan Wu , Alfredo Cuzzocrea , Sheikh Iqbal Ahamed
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