Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness

29 Aug 2019Ling LiuWenqi WeiKa-Ho ChowMargaret LoperEmre GursoyStacey TruexYanzhao Wu

Ensemble learning is a methodology that integrates multiple DNN learners for improving prediction performance of individual learners. Diversity is greater when the errors of the ensemble prediction is more uniformly distributed... (read more)

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