LLMUZZ: LLM-based seed optimization for black-box device fuzzing

Guangming Gao; Shuitao Gan; Xiaofeng Wang; Shengkai Zhu

doi:10.1109/TrustCom63139.2024.00171

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2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

LLMUZZ: LLM-based seed optimization for black-box device fuzzing

Year: 2024, Pages: 1209-1216

DOI Bookmark: 10.1109/TrustCom63139.2024.00171

Authors

Guangming Gao, Jiangnan University,School of Artificial Intelligence and Computer Science,China
Shuitao Gan, Labortory for Advanced Computing and Intelligence Engineering,Wuxi,China
Xiaofeng Wang, Pengcheng Laboratory,Shenzhen,China
Shengkai Zhu, Jiangnan University,School of Artificial Intelligence and Computer Science,China

LLMUZZ: LLM-based seed optimization for black-box device fuzzing

Authors

Abstract