Search Results for author: Alexander Hartl

Found 3 papers, 3 papers with code

Separating Flows in Encrypted Tunnel Traffic

1 code implementation IEEE International Conference on Machine Learning and Applications 2022 Alexander Hartl, Joachim Fabini, Tanja Zseby

In this paper, we show that it is indeed possible to separate packets belonging to different flows purely from patterns observed in the interleaved packet sequence.

Network Intrusion Detection

Explainability and Adversarial Robustness for RNNs

1 code implementation20 Dec 2019 Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby

Recurrent Neural Networks (RNNs) yield attractive properties for constructing Intrusion Detection Systems (IDSs) for network data.

Adversarial Robustness Feature Importance +1

Walling up Backdoors in Intrusion Detection Systems

1 code implementation17 Sep 2019 Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby

Interest in poisoning attacks and backdoors recently resurfaced for Deep Learning (DL) applications.

Autonomous Driving Intrusion Detection

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