GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples

20 Apr 2020Julia LustAlexandru 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 detect misclassified samples... (read more)

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