Maximilian Bachl | DeepAI

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Featured Co-authors

Tanja Zseby
9 publications
Joachim Fabini
8 publications
Fares Meghdouri
2 publications
Alexander Hartl
2 publications
Daniel C. Ferreira
1 publication

∙ 06/21/2022

Fair Queuing Aware Congestion Control

Fair queuing is becoming increasingly prevalent in the internet and has ...

0 Maximilian Bachl, et al. ∙

∙ 02/19/2021

A flow-based IDS using Machine Learning in eBPF

eBPF is a new technology which allows dynamically loading pieces of code...

0 Maximilian Bachl, et al. ∙

∙ 10/16/2020

Optimizing Congestion Control Through Fair Queuing Detection

Low delay is an explicit requirement for applications such as cloud gami...

0 Maximilian Bachl, et al. ∙

∙ 07/27/2020

EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection

Fully Connected Neural Networks (FCNNs) have been the core of most state...

0 Fares Meghdouri, et al. ∙

∙ 07/06/2020

LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning

The increasing number of different, incompatible congestion control algo...

0 Maximilian Bachl, et al. ∙

∙ 02/10/2020

SparseIDS: Learning Packet Sampling with Reinforcement Learning

Recurrent Neural Networks (RNNs) have been shown to be valuable for cons...

0 Maximilian Bachl, et al. ∙

∙ 12/20/2019

Explainability and Adversarial Robustness for RNNs

Recurrent Neural Networks (RNNs) yield attractive properties for constru...

20 Alexander Hartl, et al. ∙

∙ 10/23/2019

Cocoa: Congestion Control Aware Queuing

Recent model-based congestion control algorithms such as BBR use repeate...

0 Maximilian Bachl, et al. ∙

∙ 09/17/2019

Walling up Backdoors in Intrusion Detection Systems

Interest in poisoning attacks and backdoors recently resurfaced for Deep...

0 Maximilian Bachl, et al. ∙

∙ 07/03/2019

City-GAN: Learning architectural styles using a custom Conditional GAN architecture

Generative Adversarial Networks (GANs) are a well-known technique that i...

0 Maximilian Bachl, et al. ∙

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