Maximilian Bachl

Explainability and Adversarial Robustness for RNNs

Alexander Härtl, Maximilian Bachl, Joachim Fabini et al. · 2020 · 29 citations · Full text

Engineering, Machine Learning, Evasion Technique +18

Rax: Deep Reinforcement Learning for Congestion Control

Maximilian Bachl, Tanja Zseby, Joachim Fabini · 2019 · 18 citations

Artificial Intelligence, Congestion Management, Engineering +12

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

Daniel C. Ferreira, Félix Iglesias, Gernot Vormayr et al. · 2017 · 17 citations

Internet Traffic Analysis, Anomaly Detection, Engineering +18

Walling up Backdoors in Intrusion Detection Systems

Maximilian Bachl, Alexander Härtl, Joachim Fabini et al. · 2019 · 15 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +15

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

Maximilian Bachl, Daniel C. Ferreira · arXiv (Cornell University) · 2019 · 13 citations · Full text

Artificial Intelligence, Available Gan, Learning Architectural Styles +20