People


Maximilian Bachl

Maximilian Bachl
IndexInstitutionofficehomepagegroup
0 ■ Inria50NoneFormer PhD students

s

⇣ Explainability and Adversarial Robustness for RNNs,
Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby,
BigDataService 2020
⇣ SparseIDS: Learning Packet Sampling with Reinforcement Learning,
Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby,
CNS 2020
⇣ 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
⇣ 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
⇣ Rax: Deep Reinforcement Learning for Congestion Control,
Maximilian Bachl, Tanja Zseby, Joachim Fabini,
ICC 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

⇣ Collaborative Home Network Troubleshooting,
Maximilian Bachl ■,
2016

Misc

⇣ A flow-based IDS using Machine Learning in eBPF,
Maximilian Bachl, Joachim Fabini, Tanja Zseby,
CoRR 2021
⇣ Optimizing Congestion Control Through Fair Queuing Detection,
Maximilian Bachl, Joachim Fabini, Tanja Zseby,
CoRR 2020
⇣ City-GAN: Learning architectural styles using a custom Conditional GAN architecture,
Maximilian Bachl, Daniel Ferreira,
CoRR 2019