Large language models for cyber security: A systematic literature review
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
When llms meet cybersecurity: A systematic literature review
J Zhang, H Bu, H Wen, Y Chen, L Li, H Zhu - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancements in large language models (LLMs) have opened new avenues
across various fields, including cybersecurity, which faces an ever-evolving threat landscape …
across various fields, including cybersecurity, which faces an ever-evolving threat landscape …
Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach
While static analysis is instrumental in uncovering software bugs, its precision in analyzing
large and intricate codebases remains challenging. The emerging prowess of Large …
large and intricate codebases remains challenging. The emerging prowess of Large …
Vulnerability detection with code language models: How far are we?
In the context of the rising interest in code language models (code LMs) and vulnerability
detection, we study the effectiveness of code LMs for detecting vulnerabilities. Our analysis …
detection, we study the effectiveness of code LMs for detecting vulnerabilities. Our analysis …
A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection
Large Language Models (LLMs) have demonstrated great potential for code generation and
other software engineering tasks. Vulnerability detection is of crucial importance to …
other software engineering tasks. Vulnerability detection is of crucial importance to …
Do neutral prompts produce insecure code? formai-v2 dataset: Labelling vulnerabilities in code generated by large language models
This study provides a comparative analysis of state-of-the-art large language models
(LLMs), analyzing how likely they generate vulnerabilities when writing simple C programs …
(LLMs), analyzing how likely they generate vulnerabilities when writing simple C programs …
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Large language models (LLMs) have demonstrated significant poten-tial for many
downstream tasks, including those requiring human-level intelligence, such as vulnerability …
downstream tasks, including those requiring human-level intelligence, such as vulnerability …
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code
In the field of code intelligence, effectively modeling long-range code poses a significant
challenge. Existing pre-trained language models (PLMs) such as UniXcoder have achieved …
challenge. Existing pre-trained language models (PLMs) such as UniXcoder have achieved …
On the effectiveness of Large Language Models for GitHub Workflows
X Zhang, S Muralee, S Cherupattamoolayil… - arXiv preprint arXiv …, 2024 - arxiv.org
GitHub workflows or GitHub CI is a popular continuous integration platform that enables
developers to automate various software engineering tasks by specifying them as workflows …
developers to automate various software engineering tasks by specifying them as workflows …
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
The widespread use of Text-to-Image (T2I) models in content generation requires careful
examination of their safety, including their robustness to adversarial attacks. Despite …
examination of their safety, including their robustness to adversarial attacks. Despite …