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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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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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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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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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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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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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12/14/2020
Back in control – An extensible middle-box on your phone
The closed design of mobile devices – with the increased security and co...
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07/27/2020
Where Things Roam: Uncovering Cellular IoT/M2M Connectivity
Support for things roaming internationally has become critical for Inter...
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06/18/2019
