DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

Deep learning (DL) defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set of training data. We have seen wide adoption of DL in many safety-critical scenarios. However, a plethora of studies have shown that the state-of-the-...

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Bibliographic Details

Published in:	2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) pp. 120 - 131
Main Authors:	Ma, Lei, Juefei-Xu, Felix, Zhang, Fuyuan, Sun, Jiyuan, Xue, Minhui, Li, Bo, Chen, Chunyang, Su, Ting, Li, Li, Liu, Yang, Zhao, Jianjun, Wang, Yadong
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.09.2018
Subjects:	Deep learning Deep neural networks Rendering (computer graphics) Software engineering Software systems Software testing System analysis and design Testing Testing criteria Training data
ISSN:	2643-1572
Online Access:	Get full text
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