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LLM-based (Large Language Model) fuzz driver generation is a promising research area.
Jaccard Distance (Jaccard Index, Jaccard Similarity Coefficient)
John Hancock. 2004 · 2004
Earlier work this paper cites.
OSS-Fuzz Github Repository
Google. 2017 · 2017
Earlier work this paper cites.
Evaluating Fuzz Testing. In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (Toronto, Canada) (CCS ’18) . Association for Computing Machinery, New York, NY, USA, 2123–2138
George Klees, Andrew Ruef, Benji Cooper, Shiyi Wei, and Michael Hicks. 2018 · 2018
Earlier work this paper cites.
Fudge: fuzz driver generation at scale. In Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 975–985
Domagoj Babić, Stefan Bucur, Yaohui Chen, Franjo Ivančić, Tim King, Markus Kusano, Caroline Lemieux, László Szekeres, and Wei Wang. 2019 · 2019
Earlier work this paper cites.
LibFuzzer
libfuzzer@googlegroups.com. 2019 · 2019
Earlier work this paper cites.
{ \{ AFL++ } \} : Combining incremental steps of fuzzing research. In 14th USENIX Workshop on Offensive Technologies (WOOT 20)
Andrea Fioraldi, Dominik Maier, Heiko Eißfeldt, and Marc Heuse. 2020 · 2020
Earlier work this paper cites.
Fuzzgen: Automatic fuzzer generation. In 29th USENIX Security Symposium (USENIX Security 20)
Kyriakos Ispoglou, Daniel Austin, Vishwath Mohan, and Mathias Payer. 2020 · 2020
Earlier work this paper cites.
WINNIE: fuzzing Windows applications with harness synthesis and fast cloning. In Proceedings of the 2021 Network and Distributed System Security Symposium (NDSS 2021)
Jinho Jung, Stephen Tong, Hong Hu, Jungwon Lim, Yonghwi Jin, and Taesoo Kim. 2021 · 2021
Earlier work this paper cites.
IntelliGen: automatic driver synthesis for fuzz testing. In 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) . IEEE, 318–327
Mingrui Zhang, Jianzhong Liu, Fuchen Ma, Huafeng Zhang, and Yu Jiang. 2021b · 2021
Earlier work this paper cites.
Automated Repair of Programs from Large Language Models
Zhiyu Fan, Xiang Gao, Abhik Roychoudhury, and Shin Hwei Tan. 2022 · 2022
Earlier work this paper cites.
Jigsaw: Large language models meet program synthesis. In Proceedings of the 44th International Conference on Software Engineering . 1219–1231
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, and Rahul Sharma. 2022 · 2022
Earlier work this paper cites.
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing
Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, and Qing Wang. 2022 · 2022
Earlier work this paper cites.
ChatGpt Website
OpenAI. 2022 · 2022
Earlier work this paper cites.
Asleep at the keyboard? assessing the security of github copilot’s code contributions. In 2022 IEEE Symposium on Security and Privacy (SP) . IEEE, 754–768
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri. 2022 · 2022
Cited alongside, same era.
Website for Our Study
Anonymous. 2023 · 2023
Cited alongside, same era.
Hopper: Interpretative Fuzzing for Libraries. In Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security . 1600–1614
Peng Chen, Yuxuan Xie, Yunlong Lyu, Yuxiao Wang, and Hao Chen. 2023 · 2023
Cited alongside, same era.
codellama-34b-instruct Model
Codellama. 2023 · 2023
Cited alongside, same era.
Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT
Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, and Lingming Zhang. 2023b · 2023
Cited alongside, same era.
Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al · 2023
Closest in time.
Adaptive test generation using a large language model
Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip. 2023 · 2023
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Adaptive Test Generation Using a Large Language Model
Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip. 2023 · 2023
Closest in time.
Exploring the Effectiveness of Large Language Models in Generating Unit Tests
Mohammed Latif Siddiq, Joanna Santos, Ridwanul Hasan Tanvir, Noshin Ulfat, Fahmid Al Rifat, and Vinicius Carvalho Lopes. 2023 · 2023
Closest in time.
Scaling security with AI: from detection to solution
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Google PaLM2 Text Models
Google. 2023 · 2023
Cited alongside, same era.
UTOPIA: Automatic Generation of Fuzz Driver using Unit Tests. In 2023 2023 IEEE Symposium on Security and Privacy (SP) . IEEE Computer Society, Los Alamitos, CA, USA, 746–762
B. Jeong, J. Jang, H. Yi, J. Moon, J. Kim, I. Jeon, T. Kim, W. Shim, and Y. Hwang. 2023 · 2023
Cited alongside, same era.
Self-planning Code Generation with Large Language Model
Xue Jiang, Yihong Dong, Lecheng Wang, Qiwei Shang, and Ge Li. 2023 · 2023
Cited alongside, same era.
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. 2023 · 2023
Cited alongside, same era.
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, and Daxin Jiang. 2023 · 2023
Cited alongside, same era.
Prompt Fuzzing for Fuzz Driver Generation
Yunlong Lyu, Yuxuan Xie, Peng Chen, and Hao Chen. 2023 · 2023
Cited alongside, same era.
Example Usage of System Role
OPENAI. 2023 · 2023
Cited alongside, same era.
Google OSS-Fuzz Team. 2024l · 2023
Closest in time.
Magicoder: Source Code Is All You Need
Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, and Lingming Zhang. 2023 · 2023
Closest in time.
wizardcoder-15b-v1.0 Model
WizardLM. 2023 · 2023
Closest in time.
Universal fuzzing via large language models
Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, and Lingming Zhang. 2023 · 2023
Closest in time.
Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT
Chunqiu Steven Xia and Lingming Zhang. 2023 · 2023
Closest in time.
White-box compiler fuzzing empowered by large language models
Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, and Lingming Zhang. 2023 · 2023
Closest in time.
Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation
Cen Zhang, Yuekang Li, Hao Zhou, Xiaohan Zhang, Yaowen Zheng, Xian Zhan, Xiaofei Xie, Xiapu Luo, Xinghua Li, Yang Liu, et al · 2023
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Sourcegraph CLI tool
Sourcegraph. 2024 · 2024
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