Optimizing Neural Network Testing with Test Theory-Reference-Cited by-同舟云学术

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Optimizing Neural Network Testing with Test Theory

Published:2024-01-19 Issue: Volume: Page:65-72
ISSN:
Container-title:2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
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Author:

Liu Yifei¹,Miao Yinxiao¹,Yang Ping¹,Wan Tianqi¹,Zhang Xiujian¹,Zhang Long¹

Affiliation:

1. Beijing Aerospace Institute for Metrology and Measurement Technology,Key Laboratory of Artificial Intelligence Measurement and Standards for State Market Regulation,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498130/10498125/10498351.pdf?arnumber=10498351

Reference9 articles.

1. Machine Learning Testing: Survey, Landscapes and Horizons

2. Towards Improved Testing For Deep Learning

3. DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems

4. Structural Coverage Criteria for Neural Networks Could Be Misleading

5. There is limited correlation between coverage and robustness for deep neural networks;Dong,2019

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