16 citations · 18 across the 10 of their papers we have counts for
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cs.LG2026
Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study
Márton Pál Lipcsey-Magyar, Adrian Pekar
Residential traffic classification supports service management, but learning across homes must account for heterogeneous traffic and privacy constraints. Privacy-aware training may…
cs.NI2026
Matched-View Cross-Domain Evaluation of WireGuard VPN Traffic Classification Using Early-Flow Fingerprints
Yasameen Sajid Razooqi, Adrian Pekar
Classifying VPN-encrypted traffic by application category typically relies on datasets that collect non-VPN and VPN traffic in separate sessions, conflating encapsulation effects w…
cs.NI2026
Tutorial on Flow-Based Network Traffic Classification Using Machine Learning
Adrian Pekar, Richard Plny, Karel Hynek
Modern networks carry increasingly diverse and encrypted traffic types that demand classification techniques beyond traditional port-based and payload-based methods. This tutorial…