@inproceedings{197b8d0d871046c881928799988bc0fa,
title = "A Coverage-Guided Fuzzing Framework based on Genetic Algorithm for Neural Networks",
abstract = "Due to the inherent difference between neural network and traditional software, it is very difficult to test it. At present, the use of fuzzing methods may be an effective exploration direction. We choose coverage-guided fuzzing as a method to test neural networks, and use neuron coverage as a coverage metric during execution. The effectiveness of neuron coverage will be demonstrated through experiments. On this basis, we designed a genetic algorithm-based fuzzing framework for neural networks, attempting to achieve greater coverage in a shorter time. And through the method of experimental comparison, the test efficiency of the framework is verified.",
keywords = "fuzzing, genetic algorithm, neural network",
author = "Gaolei Yi and Xiaoyu Yang and Pu Huang and Yichen Wang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 8th International Conference on Dependable Systems and Their Applications, DSA 2021 ; Conference date: 11-09-2021 Through 12-09-2021",
year = "2021",
doi = "10.1109/DSA52907.2021.00054",
language = "英语",
series = "Proceedings - 2021 8th International Conference on Dependable Systems and Their Applications, DSA 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "352--358",
booktitle = "Proceedings - 2021 8th International Conference on Dependable Systems and Their Applications, DSA 2021",
address = "美国",
}