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相关论文: LLMs for Cyber Security: New Opportunities

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Large Language Model (LLM) is changing the software development paradigm and has gained huge attention from both academia and industry. Researchers and developers collaboratively explore how to leverage the powerful problem-solving ability…

密码学与安全 · 计算机科学 2024-11-05 Qiang Hu , Xiaofei Xie , Sen Chen , Lei Ma

To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their…

计算与语言 · 计算机科学 2024-05-24 Yanxin Zheng , Wensheng Gan , Zefeng Chen , Zhenlian Qi , Qian Liang , Philip S. Yu

With the rapid development of artificial intelligence, large language models (LLMs) have made remarkable advancements in natural language processing. These models are trained on vast datasets to exhibit powerful language understanding and…

密码学与安全 · 计算机科学 2025-09-22 Shang Wang , Tianqing Zhu , Bo Liu , Ming Ding , Dayong Ye , Wanlei Zhou , Philip S. Yu

This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications and research directions. It is intended to be useful to those in academia and industry who are interested in gaining an…

计算与语言 · 计算机科学 2024-12-09 Sandra Johnson , David Hyland-Wood

Large language models (LLMs) have been applied to tasks in healthcare, ranging from medical exam questions to responding to patient questions. With increasing institutional partnerships between companies producing LLMs and healthcare…

计算与语言 · 计算机科学 2024-04-10 Jesutofunmi A. Omiye , Haiwen Gui , Shawheen J. Rezaei , James Zou , Roxana Daneshjou

Large language models (LLMs) have transformed many fields, including natural language processing, computer vision, and reinforcement learning. These models have also made a significant impact in the field of law, where they are being…

计算与语言 · 计算机科学 2023-03-17 Zhongxiang Sun

In safety-critical software systems, cybersecurity activities become essential, with risk assessment being one of the most critical. In many software teams, cybersecurity experts are either entirely absent or represented by only a small…

软件工程 · 计算机科学 2025-10-14 Fikret Mert Gultekin , Oscar Lilja , Ranim Khojah , Rebekka Wohlrab , Marvin Damschen , Mazen Mohamad

Large Language Models (LLMs) have emerged as powerful tools capable of understanding and generating human-like text, offering transformative potential across diverse domains. The Security Operations Center (SOC), responsible for…

密码学与安全 · 计算机科学 2025-09-23 Ali Habibzadeh , Farid Feyzi , Reza Ebrahimi Atani

This report explores the convergence of large language models (LLMs) and cybersecurity, synthesizing interdisciplinary insights from network security, artificial intelligence, formal methods, and human-centered design. It examines emerging…

密码学与安全 · 计算机科学 2025-05-05 Tao Li , Ya-Ting Yang , Yunian Pan , Quanyan Zhu

Large Language Models (LLMs) such as ChatGPT and its competitors have caused a revolution in natural language processing, but their capabilities also introduce new security vulnerabilities. This survey provides a comprehensive overview of…

密码学与安全 · 计算机科学 2025-08-26 Miles Q. Li , Benjamin C. M. Fung

Large Language Models (LLMs) are increasingly popular, powering a wide range of applications. Their widespread use has sparked concerns, especially through jailbreak attacks that bypass safety measures to produce harmful content. In this…

密码学与安全 · 计算机科学 2025-12-25 Zhengchun Shang , Wenlan Wei , Weiheng Bai

Large Language Models (LLMs), now a foundation in advancing natural language processing, power applications such as text generation, machine translation, and conversational systems. Despite their transformative potential, these models…

密码学与安全 · 计算机科学 2025-08-05 Kang Chen , Xiuze Zhou , Yuanguo Lin , Jinhe Su , Yuanhui Yu , Li Shen , Fan Lin

As large language models (LLMs) continue to evolve, it is critical to assess the security threats and vulnerabilities that may arise both during their training phase and after models have been deployed. This survey seeks to define and…

密码学与安全 · 计算机科学 2025-05-05 Francisco Aguilera-Martínez , Fernando Berzal

The advancement of Large Language Models (LLMs) has significantly impacted various domains, including Web search, healthcare, and software development. However, as these models scale, they become more vulnerable to cybersecurity risks,…

密码学与安全 · 计算机科学 2024-10-01 Qin Liu , Wenjie Mo , Terry Tong , Jiashu Xu , Fei Wang , Chaowei Xiao , Muhao Chen

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in the realm of education. This survey paper summarizes the various technologies of LLMs in educational settings from multifaceted perspectives,…

计算与语言 · 计算机科学 2024-04-03 Shen Wang , Tianlong Xu , Hang Li , Chaoli Zhang , Joleen Liang , Jiliang Tang , Philip S. Yu , Qingsong Wen

Large language models (LLMs) have achieved remarkable performance in language understanding and generation tasks by leveraging vast amounts of online texts. Unlike conventional models, LLMs can adapt to new domains through prompt…

人工智能 · 计算机科学 2024-06-18 Ming Cheung

The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in sectors such as education and healthcare have marked a significant advancement in technology. However, this growth has also led to a largely unexplored…

密码学与安全 · 计算机科学 2024-03-20 Tri Nguyen , Huong Nguyen , Ahmad Ijaz , Saeid Sheikhi , Athanasios V. Vasilakos , Panos Kostakos

The use of Large Language Models (LLM) by providers of cybersecurity and digital infrastructures of all kinds is an ongoing development. It is suggested and on an experimental basis used to write the code for the systems, and potentially…

计算机与社会 · 计算机科学 2025-12-19 Kaspar Rosager Ludvigsen

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 transforming human decision-making by acting as cognitive collaborators. Yet, this promise comes with a paradox: while LLMs can improve accuracy, they may also erode independent reasoning, promote…

密码学与安全 · 计算机科学 2025-09-09 Irdin Pekaric , Philipp Zech , Tom Mattson