Understanding Large Language Model Based Fuzz Driver Generation

arXiv:2307.12469v3 Announce Type: replace
Abstract: LLM-based (Large Language Model) fuzz driver generation is a promising research area. Unlike traditional program analysis-based method, this text-based approach is more general and capable of harnessing a variety of API usage information, resulting in code that is friendly for human readers. However, there is still a lack of understanding regarding the fundamental issues on this direction, such as its effectiveness and potential challenges.
To bridge this gap, we conducted the first in-depth study targeting …

analysis api area arxiv code cs.cr driver fuzz general human information language large large language model llm program program analysis research text understanding