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LLM4Fuzz的综述

本文总结了5个使用LLM辅助模糊测试的挑战，回顾了顶会论文并确认了挑战的广泛存在，提出了解决方案并在DBMS进行了评估，说明了推荐方法的有效性

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@inproceedings{jiang2024fuzzing,
  title={When fuzzing meets llms: Challenges and opportunities},
  author={Jiang, Yu and Liang, Jie and Ma, Fuchen and Chen, Yuanliang and Zhou, Chijin and Shen, Yuheng and Wu, Zhiyong and Fu, Jingzhou and Wang, Mingzhe and Li, Shanshan and others},
  booktitle={Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering},
  pages={492--496},
  year={2024}
}
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2024 CSIAM 区块链技术与应用高峰论坛

CSIAM-BTAF 2024: CSIAM Blockchain Technology and Application Forum (Changchun)

6月21日-23日，长春

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Zhou S, Jiang M, Chen W, et al. WADIFF: A Differential Testing Framework for WebAssembly Runtimes[C]//2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2023: 939-950.

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Li W, Yang H, Luo X, et al. PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing[C]//Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. 2023: 1645-1659.

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Sun Y, Wu D, Xue Y, et al. GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis[C]//2024 IEEE/ACM 46th International Conference on Software Engineering ICSE, 2024.

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