Cupid : Automatic Fuzzer Selection for Collaborative Fuzzing

Author:

Güler Emre1,Görz Philipp2,Geretto Elia3,Jemmett Andrea3,Österlund Sebastian4,Bos Herbert4,Giuffrida Cristiano4,Holz Thorsten5

Affiliation:

1. Ruhr-Universtität Bochum

2. Ruhr-Universität Bochum

3. Vrije Universiteit Amsterdam

4. Vrije Universiteit Amsterdam, Netherlands

5. Ruhr-Universtität Bochum, Germany

Funder

Deutsche Forschungsgemeinschaft

Horizon 2020

Publisher

ACM

Cited by 16 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. Enhancing ROS System Fuzzing through Callback Tracing;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. Dodrio: Parallelizing Taint Analysis Based Fuzzing via Redundancy-Free Scheduling;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

3. MicroFuzz: An Efficient Fuzzing Framework for Microservices;Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice;2024-04-14

4. BandFuzz: A Practical Framework for Collaborative Fuzzing with Reinforcement Learning;Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing;2024-04-14

5. TAEF: A Task Allocation-Based Ensemble Fuzzing Framework for Optimizing the Advantages of Heterogeneous Fuzzers;Applied Sciences;2023-12-07

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