18 citations · 52 across the 7 of their papers we have counts for
4 papers · 1 filter
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
Kevin Fauvel, Fuxing Chen, Dario Rossi
Traffic classification, i.e. the identification of the type of applications flowing in a network, is a strategic task for numerous activities (e.g., intrusion detection, routing).…
Thinkback: Task-SpecificOut-of-Distribution Detection
Lixuan Yang, Dario Rossi
The increased success of Deep Learning (DL) has recently sparked large-scale deployment of DL models in many diverse industry segments. Yet, a crucial weakness of supervised model…
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
Lixuan Yang, Alessandro Finamore, Feng Jun +1
The increasing success of Machine Learning (ML) and Deep Learning (DL) has recently re-sparked interest towards traffic classification. While classification of known traffic is a w…
Heterogeneous Data-Aware Federated Learning
Lixuan Yang, Cedric Beliard, Dario Rossi
Federated learning (FL) is an appealing concept to perform distributed training of Neural Networks (NN) while keeping data private. With the industrialization of the FL framework,…