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06/21/2022
Fair Queuing Aware Congestion Control
Fair queuing is becoming increasingly prevalent in the internet and has ...
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02/19/2021
A flow-based IDS using Machine Learning in eBPF
eBPF is a new technology which allows dynamically loading pieces of code...
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10/16/2020
Optimizing Congestion Control Through Fair Queuing Detection
Low delay is an explicit requirement for applications such as cloud gami...
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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...
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07/06/2020
LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning
The increasing number of different, incompatible congestion control algo...
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02/10/2020
SparseIDS: Learning Packet Sampling with Reinforcement Learning
Recurrent Neural Networks (RNNs) have been shown to be valuable for cons...
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12/20/2019
Explainability and Adversarial Robustness for RNNs
Recurrent Neural Networks (RNNs) yield attractive properties for constru...
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10/23/2019
Cocoa: Congestion Control Aware Queuing
Recent model-based congestion control algorithms such as BBR use repeate...
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09/17/2019
Walling up Backdoors in Intrusion Detection Systems
Interest in poisoning attacks and backdoors recently resurfaced for Deep...
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07/03/2019
