Mar 20, 2018 · The in-depth evaluation of our proposed testing criteria is demonstrated on two well-known datasets, five DL systems, and with four state-of-the ...
PDF | Deep learning defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set.
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 ...
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems. 03/20/2018. ∙. by Lei Ma, et al.
ABSTRACT. Deep learning (DL) defines a new data-driven programming para- digm that constructs the internal system logic of a crafted neuron.
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 ...
Sep 3, 2018 · The in-depth evaluation of our proposed testing criteria is demonstrated on two well-known datasets, five DL systems, and with four state-of-the ...
Missing: Comprehensive Gauging
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 ...
Wang, “Deepgauge: Comprehensive and multi-granularity testing criteria for gauging the robustness of deep learning systems,” in Proc. 33th IEEE/ACM ...
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems ... Automated Directed Fairness Testing, link.