14 citations · 38 across the 12 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CV2019
A Statistical Defense Approach for Detecting Adversarial Examples
Alessandro Cennamo, Ido Freeman, Anton Kummert
Adversarial examples are maliciously modified inputs created to fool deep neural networks (DNN). The discovery of such inputs presents a major issue to the expansion of DNN-based s…
cs.CV2019
Fast and Reliable Architecture Selection for Convolutional Neural Networks
Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs +1
The performance of a Convolutional Neural Network (CNN) depends on its hyperparameters, like the number of layers, kernel sizes, or the learning rate for example. Especially in sma…