Feature Map Testing for Deep Neural Networks

Due to the widespread application of deep neural networks~(DNNs) in safety-critical tasks, deep learning testing has drawn increasing attention. During the testing process, test cases that have been fuzzed or selected using test metrics are fed into the model to find fault-inducing test units (e.g.,...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Huang, Dong, Bu, Qingwen, Yahao Qing, Fu, Yichao, Cui, Heming
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Fault detection Feature maps Machine learning Model testing Neural networks Neurons Safety critical
Online-Zugang:	Volltext
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