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The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across…

Large Language Models (LLMs) are transforming cybersecurity by enabling intelligent, adaptive, and automated approaches to threat detection, vulnerability assessment, and incident response. With their advanced language understanding and…

密码学与安全 · 计算机科学 2025-07-21 Niveen O. Jaffal , Mohammed Alkhanafseh , David Mohaisen

The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersecurity. As the volume and sophistication of cyber threats…

密码学与安全 · 计算机科学 2025-09-23 Hanxiang Xu , Shenao Wang , Ningke Li , Kailong Wang , Yanjie Zhao , Kai Chen , Ting Yu , Yang Liu , Haoyu Wang

With the continuous evolution of Large Language Models (LLMs), LLM-based agents have advanced beyond passive chatbots to become autonomous cyber entities capable of performing complex tasks, including web browsing, malicious code and…

网络与互联网体系结构 · 计算机科学 2025-05-28 Minrui Xu , Jiani Fan , Xinyu Huang , Conghao Zhou , Jiawen Kang , Dusit Niyato , Shiwen Mao , Zhu Han , Xuemin , Shen , Kwok-Yan Lam

Large language models (LLMs) have demonstrated impressive results on natural language tasks, and security researchers are beginning to employ them in both offensive and defensive systems. In cyber-security, there have been multiple research…

密码学与安全 · 计算机科学 2024-03-05 Jiacen Xu , Jack W. Stokes , Geoff McDonald , Xuesong Bai , David Marshall , Siyue Wang , Adith Swaminathan , Zhou Li

The recent progression of Large Language Models (LLMs) has witnessed great success in the fields of data-centric applications. LLMs trained on massive textual datasets showed ability to encode not only context but also ability to provide…

密码学与安全 · 计算机科学 2024-05-24 Mohammed Hassanin , Nour Moustafa

With the rapid development of technology and the acceleration of digitalisation, the frequency and complexity of cyber security threats are increasing. Traditional cybersecurity approaches, often based on static rules and predefined…

This, with the ever-increasing sophistication of cyberwar, calls for novel solutions. In this regard, Large Language Models (LLMs) have emerged as a highly promising tool for defensive and offensive cybersecurity-related strategies. While…

Large Language Models (LLMs) are intensively used to assist security analysts in counteracting the rapid exploitation of cyber threats, wherein LLMs offer cyber threat intelligence (CTI) to support vulnerability assessment and incident…

密码学与安全 · 计算机科学 2025-10-03 Luoxi Tang , Yuqiao Meng , Ankita Patra , Weicheng Ma , Muchao Ye , Zhaohan Xi

Large Language Models (LLMs) have revolutionized artificial intelligence and machine learning through their advanced text processing and generating capabilities. However, their widespread deployment has raised significant safety and…

密码学与安全 · 计算机科学 2024-12-03 Jing Cui , Yishi Xu , Zhewei Huang , Shuchang Zhou , Jianbin Jiao , Junge Zhang

Large Language Models (LLMs) have achieved significantly advanced capabilities in understanding and generating human language text, which have gained increasing popularity over recent years. Apart from their state-of-the-art natural…

密码学与安全 · 计算机科学 2025-02-11 Yihe Zhou , Tao Ni , Wei-Bin Lee , Qingchuan Zhao

Large Language Models (LLMs) have become central to numerous natural language processing tasks, but their vulnerabilities present significant security and ethical challenges. This systematic survey explores the evolving landscape of attack…

密码学与安全 · 计算机科学 2025-05-05 Zhiyu Liao , Kang Chen , Yuanguo Lin , Kangkang Li , Yunxuan Liu , Hefeng Chen , Xingwang Huang , Yuanhui Yu

Large language models (LLMs) are increasingly being harnessed to automate cyberattacks, making sophisticated exploits more accessible and scalable. In response, we propose a new defense strategy tailored to counter LLM-driven cyberattacks.…

密码学与安全 · 计算机科学 2024-11-19 Dario Pasquini , Evgenios M. Kornaropoulos , Giuseppe Ateniese

Large language models (LLMs) are popular for high-quality text generation but can produce harmful content, even when aligned with human values through reinforcement learning. Adversarial prompts can bypass their safety measures. We propose…

计算与语言 · 计算机科学 2024-05-03 Mansi Phute , Alec Helbling , Matthew Hull , ShengYun Peng , Sebastian Szyller , Cory Cornelius , Duen Horng Chau

Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, but their vulnerability to jailbreak attacks poses significant security risks. This survey paper presents a comprehensive analysis…

计算与语言 · 计算机科学 2024-12-18 Tarun Raheja , Nilay Pochhi , F. D. C. M. Curie

Large Language Models (LLMs) have become a cornerstone in the field of Natural Language Processing (NLP), offering transformative capabilities in understanding and generating human-like text. However, with their rising prominence, the…

Large language models (LLMs) and LLM-based agents have been widely deployed in a wide range of applications in the real world, including healthcare diagnostics, financial analysis, customer support, robotics, and autonomous driving,…

密码学与安全 · 计算机科学 2025-05-20 Wenrui Xu , Keshab K. Parhi

Large Language Models (LLMs) have transformed artificial intelligence by advancing natural language understanding and generation, enabling applications across fields beyond healthcare, software engineering, and conversational systems.…

Large Language Models (LLMs), which bridge the gap between human language understanding and complex problem-solving, achieve state-of-the-art performance on several NLP tasks, particularly in few-shot and zero-shot settings. Despite the…

密码学与安全 · 计算机科学 2025-01-07 Shuai Zhao , Meihuizi Jia , Zhongliang Guo , Leilei Gan , Xiaoyu Xu , Xiaobao Wu , Jie Fu , Yichao Feng , Fengjun Pan , Luu Anh Tuan

From denial-of-service attacks to spreading of ransomware or other malware across an organization's network, it is possible that manually operated defenses are not able to respond in real time at the scale required, and when a breach is…

密码学与安全 · 计算机科学 2022-01-28 Alexandre K. Ligo , Alexander Kott , Igor Linkov
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