Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

arXiv:2402.17230v1 Announce Type: new
Abstract: Security vulnerabilities are increasingly prevalent in modern software and they are widely consequential to our society. Various approaches to defending against these vulnerabilities have been proposed, among which those leveraging deep learning (DL) avoid major barriers with other techniques hence attracting more attention in recent years. However, DL-based approaches face critical challenges including the lack of sizable and quality-labeled task-specific datasets and their inability to generalize well to unseen, real-world scenarios. Lately, large language models …

arxiv attention cs.cr deep learning defending language language models large major prevalent security society software software vulnerabilities techniques thought vulnerabilities