5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 5 cited
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples
Julia Lust, Alexandru Paul Condurache
Deep neural networks (DNNs) are vulnerable to adversarial examples and other data perturbations. Especially in safety critical applications of DNNs, it is therefore crucial to dete…
cs.LG2020★ 1 cited
Invariant Integration in Deep Convolutional Feature Space
Matthias Rath, Alexandru Paul Condurache
In this contribution, we show how to incorporate prior knowledge to a deep neural network architecture in a principled manner. We enforce feature space invariances using a novel la…