Apr 21, 2024 · ArticlePDF Available. DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems.
The in-depth evaluation of the proposed DeepGauge testing criteria is demonstrated on two well-known datasets, five DL systems, with four state-of-the-art ...
and machine learning communities can benefit from applying new criteria for gauging the testing quality of the DNNs to gain confidence towards constructing ...
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems. 03/20/2018. ∙. by Lei Ma, et al.
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria ...
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Bibliographic details on DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems.
Sep 17, 2018 · In this paper, we propose DeepGauge, a set of multi-granularity testing criteria for DL systems, which aims at rendering a multi-faceted ...
DeepGauge is proposed, a set of multi-granularity testing criteria for DL systems, which aims at rendering a multi-faceted portrayal of the testbed and ...
In this paper, we propose DeepGauge, a set of multi-granularity testing criteria for DL systems, which aims at rendering a multi-faceted portrayal of the ...
Concolic Testing for Deep Neural Networks, link. DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning ...