ملف الباحث
Stanley Osher
ورقة واحدة في مجموعة PaperMetrix
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Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
2018 · arXiv (Cornell University)
We improve the robustness of Deep Neural Net (DNN) to adversarial attacks by using an interpolating function as the output activation. This data-dependent activation remarkably improves both the generalization and robustness of DNN. In the …