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ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space
Chuyang Chen, Brendan Dolan-Gavitt, Zhiqiang Lin
https://arxiv.org/abs/2506.10323

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space
Generation-based fuzzing produces appropriate testing cases according to specifications of input grammars and semantic constraints to test systems and software. However, these specifications require significant manual efforts to construct. This paper proposes a new approach, ELFuzz (Evolution Through Large Language Models for Fuzzing), that automatically synthesizes generation-based fuzzers tailored to a system under test (SUT) via LLM-driven synthesis over fuzzer space. At a high level, it sta…

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