An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks

Research article (2020 25th International Conference on Engineering of Complex Computer Systems (ICECCS), 2020) · cited 34× · AI/ML
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An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks

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An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-on-correlation-between-coverage-and-robustness-for-deep-neural-networks
MLA “An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-on-correlation-between-coverage-and-robustness-for-deep-neural-networks.
BibTeX @misc{4ortxyz_an-empirical-study-on-correlation-between-coverage-and-robustness-for-deep-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-on-correlation-between-coverage-and-robustness-for-deep-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks — https://4ort.xyz/entity/an-empirical-study-on-correlation-between-coverage-and-robustness-for-deep-neural-networks (retrieved 2026-05-24)

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