Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models

Author:

Deng Yinlin1,Xia Chunqiu Steven1,Peng Haoran2,Yang Chenyuan1,Zhang Lingming1

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

2. University of Science and Technology of China, China

Funder

National Science Foundation

Publisher

ACM

Reference86 articles.

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3. 2022. Coverage.py. https://github.com/nedbat/coveragepy 2022. Coverage.py. https://github.com/nedbat/coveragepy

4. 2022. Gamma function. https://en.wikipedia.org/wiki/Gamma_function 2022. Gamma function. https://en.wikipedia.org/wiki/Gamma_function

5. Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray and Kai-Wei Chang. 2021. Unified Pre-training for Program Understanding and Generation. arxiv:2103.06333. Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray and Kai-Wei Chang. 2021. Unified Pre-training for Program Understanding and Generation. arxiv:2103.06333.

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1. Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries;Proceedings of the 46th IEEE/ACM International Conference on Software Engineering;2024-02-06

2. Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

3. A systematic review of fuzzing;Soft Computing;2023-10-31

4. Survey on Fuzzing Techniques in Deep Learning Libraries;2023 8th International Conference on Data Science in Cyberspace (DSC);2023-08-18

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