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09/18/2023
Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation
Over the last years we witnessed a renewed interest towards Traffic Clas...
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05/21/2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
The popularity of Deep Learning (DL), coupled with network traffic visib...
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03/01/2023
Continuous-Time Functional Diffusion Processes
We introduce functional diffusion processes (FDPs), which generalize tra...
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02/21/2023
User-aware WLAN Transmit Power Control in the Wild
In Wireless Local Area Networks (WLANs), Access point (AP) transmit powe...
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01/07/2023
"It's a Match!" – A Benchmark of Task Affinity Scores for Joint Learning
While the promises of Multi-Task Learning (MTL) are attractive, characte...
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11/25/2022
Cross-network transferable neural models for WLAN interference estimation
Airtime interference is a key performance indicator for WLANs, measuring...
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11/18/2022
Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection
Anomaly detection research works generally propose algorithms or end-to-...
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07/13/2022
From Design to Deployment of Zero-touch Deep Reinforcement Learning WLANs
Machine learning (ML) is increasingly used to automate networking tasks,...
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06/27/2022
Local Evaluation of Time Series Anomaly Detection Algorithms
In recent years, specific evaluation metrics for time series anomaly det...
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06/10/2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Score-based diffusion models are a class of generative models whose dyna...
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05/03/2022
Neural language models for network configuration: Opportunities and reality check
Boosted by deep learning, natural language processing (NLP) techniques h...
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04/26/2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
The tremendous achievements of Artificial Intelligence (AI) in computer ...
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03/24/2022
Size-based scheduling vs fairness for datacenter flows: a queuing perspective
Contrary to the conclusions of a recent body of work where approximate s...
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02/28/2022
Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOps
Artificial Intelligence (AI) has recently attracted a lot of attention, ...
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02/11/2022
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
Traffic classification, i.e. the identification of the type of applicati...
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01/03/2022
Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure
Recent years have witnessed the promise that reinforcement learning, cou...
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12/13/2021
Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching
While Deep Learning (DL) technologies are a promising tool to solve netw...
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08/26/2021
Human readable network troubleshooting based on anomaly detection and feature scoring
Network troubleshooting is still a heavily human-intensive process. To r...
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07/23/2021
HURRA! Human readable router anomaly detection
This paper presents HURRA, a system that aims to reduce the time spent b...
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07/13/2021
Thinkback: Task-SpecificOut-of-Distribution Detection
The increased success of Deep Learning (DL) has recently sparked large-s...
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07/09/2021
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
The recent popularity growth of Deep Learning (DL) re-ignited the intere...
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05/25/2021
FENXI: Deep-learning Traffic Analytics at the Edge
Live traffic analysis at the first aggregation point in the ISP network ...
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04/07/2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
The increasing success of Machine Learning (ML) and Deep Learning (DL) h...
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11/12/2020