REINAM: reinforcement learning for input-grammar inference

Author:

Wu Zhengkai1,Johnson Evan1,Yang Wei2,Bastani Osbert3,Song Dawn4,Peng Jian1,Xie Tao1

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

2. University of Texas at Dallas, USA

3. University of Pennsylvania, USA

4. University of California at Berkeley, USA

Funder

National Science Foundation

Publisher

ACM

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AsFuzzer: Differential Testing of Assemblers with Error-Driven Grammar Inference;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. V-Star: Learning Visibly Pushdown Grammars from Program Inputs;Proceedings of the ACM on Programming Languages;2024-06-20

3. Fast Deterministic Black-box Context-free Grammar Inference;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

4. AFL-RL: A Reinforcement Learning Based Mutation Scheduling Optimization Method for Fuzzing;Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications;2023-06-17

5. Mining Attributed Input Grammars and their Applications in Fuzzing;2023 IEEE Conference on Software Testing, Verification and Validation (ICST);2023-04

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