Evolutionary Generation of Test Case for Deep Neural Network Based on Coverage Guidance
2021 IEEE International Conference on Artificial Intelligence Testing (AITest)（2021）
摘要
In the past few years, Deep Neural Network(DNN) has made great progress. However, it is difficult to guarantee that DNN-based applications can get satisfactory results. Testing is an effective technology to improve the accuracy and robustness of DNN, in which test case generation is an important task. In this paper, we combine the differential evolution algorithm and coverage criterion which is st...
更多查看译文
关键词
Deep learning,Perturbation methods,Conferences,Neurons,Prediction algorithms,Robustness,Task analysis
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要