Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks. (arXiv:2204.12378v1 [cs.LG])

Several areas have been improved with Deep Learning during the past years.
Implementing Deep Neural Networks (DNN) for non-safety related applications
have shown remarkable achievements over the past years; however, for using DNNs
in safety critical applications, we are missing approaches for verifying the
robustness of such models. A common challenge for DNNs occurs when exposed to
out-of-distribution samples that are outside of the scope of a DNN, but which
result in high confidence outputs despite no prior knowledge of …

analysis arxiv detection distribution networks neural networks performance performance analysis