Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign, USA
2. University of Science and Technology of China, China
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3597926.3598067
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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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