RobOT: Robustness-Oriented Testing for Deep Learning Systems

Recently, there has been a significant growth of interest in applying software engineering techniques for the quality assurance of deep learning (DL) systems. One popular direction is deep learning testing, where adversarial examples (a.k.a.~bugs) of DL systems are found either by fuzzing or guided...

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Veröffentlicht in:	Proceedings / International Conference on Software Engineering S. 300 - 311
Hauptverfasser:	Wang, Jingyi, Chen, Jialuo, Sun, Youcheng, Ma, Xingjun, Wang, Dongxia, Sun, Jun, Cheng, Peng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2021
Schlagworte:	Benchmark testing Convergence Deep learning Measurement Robots Robustness Software engineering
ISBN:	1665402962, 9781665402965
ISSN:	1558-1225
Online-Zugang:	Volltext
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