DeepHunter: a coverage-guided fuzz testing framework for deep neural networks
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 146-157, 2019.
Deep learning testing coverage-guided fuzzing metamorphic testing
The past decade has seen the great potential of applying deep neural network (DNN) based software to safety-critical scenarios, such as autonomous driving. Similar to traditional software, DNNs could exhibit incorrect behaviors, caused by hidden defects, leading to severe accidents and losses. In this paper, we propose DeepHunter, a cover...More
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