Is neuron coverage a meaningful measure for testing deep neural networks?-Reference-Cited by-同舟云学术

Is neuron coverage a meaningful measure for testing deep neural networks?

Published:2020-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Harel-Canada Fabrice¹,Wang Lingxiao¹,Gulzar Muhammad Ali²,Gu Quanquan¹,Kim Miryung¹

Affiliation:

1. University of California at Los Angeles, USA

2. Virgina Tech, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3368089.3409754

Reference63 articles.

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2. Coverage and fault detection of the output-uniqueness test selection criteria

3. Shane Barratt. 2018 (accessed August 8 2019 ). Inception Score for GANs in Pytorch. https://github.com/sbarratt/inception-score-pytorch Shane Barratt. 2018 (accessed August 8 2019 ). Inception Score for GANs in Pytorch. https://github.com/sbarratt/inception-score-pytorch

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