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Recent work has embodied LLMs as agents, allowing them to access tools, perform actions, and interact with external content (e.g., emails or websites). However, external content introduces the risk of indirect prompt injection (IPI)…

Computation and Language · Computer Science 2024-08-06 Qiusi Zhan , Zhixiang Liang , Zifan Ying , Daniel Kang

Transformer-based large language models (LLMs) provide a powerful foundation for natural language tasks in large-scale customer-facing applications. However, studies that explore their vulnerabilities emerging from malicious user…

Computation and Language · Computer Science 2022-11-18 Fábio Perez , Ian Ribeiro

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…

Cryptography and Security · Computer Science 2025-04-24 Xiangyu Chang , Guang Dai , Hao Di , Haishan Ye

Large Language Models (LLMs) are increasingly integrated into real-world applications, from virtual assistants to autonomous agents. However, their flexibility also introduces new attack vectors-particularly Prompt Injection (PI), where…

Cryptography and Security · Computer Science 2025-09-17 Mengxiao Wang , Yuxuan Zhang , Guofei Gu

The widespread adoption of Large Language Models (LLMs) has revolutionized AI deployment, enabling autonomous and semi-autonomous applications across industries through intuitive language interfaces and continuous improvements in model…

Cryptography and Security · Computer Science 2025-10-20 Adam Swanda , Amy Chang , Alexander Chen , Fraser Burch , Paul Kassianik , Konstantin Berlin

As the use of large language models (LLMs) continues to expand, ensuring their safety and robustness has become a critical challenge. In particular, jailbreak attacks that bypass built-in safety mechanisms are increasingly recognized as a…

Cryptography and Security · Computer Science 2025-11-19 Hajun Kim , Hyunsik Na , Daeseon Choi

Large Language Models (LLMs), such as ChatGPT and GPT-4, are designed to provide useful and safe responses. However, adversarial prompts known as 'jailbreaks' can circumvent safeguards, leading LLMs to generate potentially harmful content.…

Computation and Language · Computer Science 2024-04-09 Peng Ding , Jun Kuang , Dan Ma , Xuezhi Cao , Yunsen Xian , Jiajun Chen , Shujian Huang

The rise of Large Language Models (LLMs) has led to significant applications but also introduced serious security threats, particularly from jailbreak attacks that manipulate output generation. These attacks utilize prompt engineering and…

Cryptography and Security · Computer Science 2025-02-20 Yanzeng Li , Yunfan Xiong , Jialun Zhong , Jinchao Zhang , Jie Zhou , Lei Zou

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…

Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas.…

Software Engineering · Computer Science 2023-11-22 Xiaoxia Liu , Jingyi Wang , Jun Sun , Xiaohan Yuan , Guoliang Dong , Peng Di , Wenhai Wang , Dongxia Wang

The systems and software powered by Large Language Models (LLMs) and Multi-Modal LLMs (MLLMs) have played a critical role in numerous scenarios. However, current LLM systems are vulnerable to prompt-based attacks, with jailbreaking attacks…

Cryptography and Security · Computer Science 2025-03-18 Xiaoyu Zhang , Cen Zhang , Tianlin Li , Yihao Huang , Xiaojun Jia , Ming Hu , Jie Zhang , Yang Liu , Shiqing Ma , Chao Shen

Autonomous AI agents powered by large language models (LLMs) with structured function-calling interfaces enable real-time data retrieval, computation, and multi-step orchestration. However, the rapid growth of plugins, connectors, and…

Cryptography and Security · Computer Science 2025-12-16 Mohamed Amine Ferrag , Norbert Tihanyi , Djallel Hamouda , Leandros Maglaras , Abderrahmane Lakas , Merouane Debbah

Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation, enabling their widespread adoption across various domains. However, their susceptibility to prompt injection attacks…

Cryptography and Security · Computer Science 2025-05-05 Jinsheng Pan , Xiaogeng Liu , Chaowei Xiao

Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized automated code generation in software engineering. However, as these models are increasingly utilized for software development, concerns have arisen…

Cryptography and Security · Computer Science 2024-12-03 Ahmad Mohsin , Helge Janicke , Adrian Wood , Iqbal H. Sarker , Leandros Maglaras , Naeem Janjua

Large language models (LLMs), such as ChatGPT, have emerged with astonishing capabilities approaching artificial general intelligence. While providing convenience for various societal needs, LLMs have also lowered the cost of generating…

Computation and Language · Computer Science 2023-08-28 Zhenhua Wang , Wei Xie , Kai Chen , Baosheng Wang , Zhiwen Gui , Enze Wang

Large Language Models (LLMs) have performed exceptionally in various text-generative tasks, including question answering, translation, code completion, etc. However, the over-assistance of LLMs has raised the challenge of "jailbreaking",…

Cryptography and Security · Computer Science 2024-09-02 Sibo Yi , Yule Liu , Zhen Sun , Tianshuo Cong , Xinlei He , Jiaxing Song , Ke Xu , Qi Li

Jailbreak attacks are crucial for identifying and mitigating the security vulnerabilities of Large Language Models (LLMs). They are designed to bypass safeguards and elicit prohibited outputs. However, due to significant differences among…

Large Language Models (LLMs) like ChatGPT are now widely used in writing and reviewing scientific papers. While this trend accelerates publication growth and reduces human workload, it also introduces serious risks. Papers written or…

Cryptography and Security · Computer Science 2026-04-16 Kanchon Gharami , Sanjiv Kumar Sarkar , Safayat Bin Hakim , Yongxin Liu , Nahid Farhady Ghalaty , Shafika Showkat Moni

The misuse of large language models (LLMs) has drawn significant attention from the general public and LLM vendors. One particular type of adversarial prompt, known as jailbreak prompt, has emerged as the main attack vector to bypass the…

Cryptography and Security · Computer Science 2024-05-16 Xinyue Shen , Zeyuan Chen , Michael Backes , Yun Shen , Yang Zhang

In the era of rapid generative AI development, interactions with large language models (LLMs) pose increasing risks of misuse. Prior research has primarily focused on attacks using template-based prompts and optimization-oriented methods,…

Cryptography and Security · Computer Science 2026-03-03 Wenhan Chang , Tianqing Zhu , Yu Zhao , Shuangyong Song , Ping Xiong , Wanlei Zhou