Large Language Model Enhanced Greybox Fuzzing For Software Testing
LLAMAFUZZ combines large language models with traditional fuzzing to generate diverse & effective input data, finding more bugs & vulnerabilities in software, especially in structured data formats.
This is a Plain English Papers summary of a research paper called LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview • LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing explores a new approach to software testing and vulnerability discovery called "greybox fuzzing" that combines traditional fuzzing techniques with large language models. • The researchers propose LLAMAFUZZ, a system that leverages the capabilities of large language models to generate...