[HTML][HTML] When llms meet cybersecurity: A systematic literature review

J Zhang, H Bu, H Wen, Y Liu, H Fei… - …, 2025 - cybersecurity.springeropen.com
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

A survey on large language models for software engineering

Q Zhang, C Fang, Y **e, Y Zhang, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Large Language Models and Code Security: A Systematic Literature Review

E Basic, A Giaretta - arxiv preprint arxiv:2412.15004, 2024 - arxiv.org
Large Language Models (LLMs) have emerged as powerful tools for automating various
programming tasks, including security-related ones, such as detecting and fixing …

Large Language Models in Software Security: A Survey of Vulnerability Detection Techniques and Insights

Z Sheng, Z Chen, S Gu, H Huang, G Gu… - arxiv preprint arxiv …, 2025 - arxiv.org
Large Language Models (LLMs) are emerging as transformative tools for software
vulnerability detection, addressing critical challenges in the security domain. Traditional …

[PDF][PDF] When LLMs meet cybersecurity: a systematic

J Zhang, H Bu, H Wen, Y Liu, H Fei, R **, L Li… - 2025 - cybersecurity.springeropen.com
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

[PDF][PDF] Deep Learning Techniques for Enhancing the Efficiency of Security Patch Development

Z Shahbazi, M Mesbah - researchgate.net
Ensuring timely and accurate security patches is crucial for maintaining software integrity in
the face of evolving vulnerabilities. This paper presents a comprehensive study on …