all InfoSec news
A Case Study of Large Language Models (ChatGPT and CodeBERT) for Security-Oriented Code Analysis
May 3, 2024, 4:15 a.m. | Zhilong Wang, Lan Zhang, Chen Cao, Nanqing Luo, Peng Liu
cs.CR updates on arXiv.org arxiv.org
Abstract: LLMs can be used on code analysis tasks like code review, vulnerabilities analysis and etc. However, the strengths and limitations of adopting these LLMs to the code analysis are still unclear. In this paper, we delve into LLMs' capabilities in security-oriented program analysis, considering perspectives from both attackers and security analysts. We focus on two representative LLMs, ChatGPT and CodeBert, and evaluate their performance in solving typical analytic tasks with varying levels of difficulty. Our …
analysis arxiv can capabilities case chatgpt code code analysis code review cs.ai cs.cr etc language language models large limitations llms review security study vulnerabilities
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Information Security Engineers
@ D. E. Shaw Research | New York City
Technology Security Analyst
@ Halton Region | Oakville, Ontario, Canada
Senior Cyber Security Analyst
@ Valley Water | San Jose, CA
Associate Engineer (Security Operations Centre)
@ People Profilers | Singapore, Singapore, Singapore
DevSecOps Engineer
@ Australian Payments Plus | Sydney, New South Wales, Australia
Senior Cybersecurity Specialist
@ SmartRecruiters Inc | Poland, Poland