People


Maximilian Bachl

Maximilian Bachl
Institution: 
■ Inria
Office: 
50
Groups: 
Former PhD student

Articles

⇣
A flow-based IDS using Machine Learning in eBPF,
Maximilian Bachl, Joachim Fabini, Tanja Zseby,
CoRR 2021
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Explainability and Adversarial Robustness for RNNs,
Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby,
BigDataService 2020
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SparseIDS: Learning Packet Sampling with Reinforcement Learning,
Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby,
CNS 2020
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EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection,
Fares Meghdouri, Maximilian Bachl, Tanja Zseby,
CSNet 2020
⇣
LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning,
Maximilian Bachl, Joachim Fabini, Tanja Zseby,
LCN 2020
⇣
Optimizing Congestion Control Through Fair Queuing Detection,
Maximilian Bachl, Joachim Fabini, Tanja Zseby,
CoRR 2020
⇣
Cocoa: Congestion Control Aware Queuing,
Maximilian Bachl, Joachim Fabini, Tanja Zseby,
BS 2019
⇣
Walling up Backdoors in Intrusion Detection Systems,
Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby,
Big-DAMA@CoNEXT 2019
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Rax: Deep Reinforcement Learning for Congestion Control,
Maximilian Bachl, Tanja Zseby, Joachim Fabini,
ICC 2019
⇣
City-GAN: Learning architectural styles using a custom Conditional GAN architecture,
Maximilian Bachl, Daniel Ferreira,
CoRR 2019
⇣
A Meta-Analysis Approach for Feature Selection in Network Traffic Research,
Daniel Ferreira, Felix Iglesias Vazquez, Gernot Vormayr, Maximilian Bachl ■, Tanja Zseby,
Reproducibility@SIGCOMM 2017

Report

⇣
Collaborative Home Network Troubleshooting,
Maximilian Bachl ■,
2016
Generated using minifold and minifold-lincs at 2026-04-17 18:19.