Explainability and Adversarial Robustness for RNNs

Alexander Hartl, Maximilian Bachl, Joachim Fabini +1

Recurrent Neural Networks (RNNs) yield attractive properties for constructing Intrusion Detection Systems (IDSs) for network data. With the rise of ubiquitous Machine Learning (ML)…