Titlebook: ECML PKDD 2018 Workshops; Nemesis 2018, UrbRea Carlos Alzate,Anna Monreale,Mathieu Sinn Conference proceedings 2019 Springer Nature Switzer

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Host Based Intrusion Detection System with Combined CNN/RNN Modelproved anomaly IDS. Intrusion Detection is based on determining the probability of a particular call sequence occurring from a language model trained on normal call sequences from the ADFA Data set of system call traces?[.]. Sequences with a low probability of occurring are classified as an anomaly.

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Wernickes-area

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Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Spacerk’s susceptibility towards adversarial examples. For ensuring that the learned weight matrix’s condition number remains sufficiently low, we suggest using an orthogonal regularizer. We show that this indeed helps in increasing the adversarial accuracy on MNIST and F-MNIST datasets.