Maximilian Bachl

CoRR, 2022

2021

A flow-based IDS using Machine Learning in eBPF.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Optimizing Congestion Control Through Fair Queuing Detection.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020

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

[BibT_eX]

[DOI]

Fares Meghdouri

Proceedings of the 4th Cyber Security in Networking Conference, 2020

SparseIDS: Learning Packet Sampling with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

Explainability and Adversarial Robustness for RNNs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020

2019

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

[BibT_eX]

[DOI]

Daniel C. Ferreira

CoRR, 2019

Rax: Deep Reinforcement Learning for Congestion Control.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Walling up Backdoors in Intrusion Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, 2019

Cocoa: Congestion Control Aware Queuing.

[BibT_eX]

[DOI]

Proceedings of the BS '19: 2019 Workshop on Buffer Sizing, 2019

2017

A Meta-Analysis Approach for Feature Selection in Network Traffic Research.

[BibT_eX]

[DOI]

Daniel C. Ferreira

Félix Iglesias Vázquez

Gernot Vormayr