Search Results for author: Ricardo J. Rodríguez

Found 1 papers, 0 papers with code

DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks

no code implementations14 Oct 2021 Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jianhua Wang, Ricardo J. Rodríguez

In this paper, we propose an interpretable white-box AE attack approach, DI-AA, which explores the application of the interpretable approach of the deep Taylor decomposition in the selection of the most contributing features and adopts the Lagrangian relaxation optimization of the logit output and L_p norm to further decrease the perturbation.

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