Detection of HTTPS Brute-Force Attacks with Packet-Level Feature Set. - Jan Luxemburk; Karel Hynek; Tomás Cejka (CCWC, 2021)

Summary of DNS Over HTTPS Abuse. - Karel Hynek; Dmitrii Vekshin; Jan Luxemburk; Tomás Cejka; Armin Wasicek (IEEE Access, 2022)

DataZoo: Streamlining Traffic Classification Experiments. - Jan Luxemburk; Karel Hynek (SAFE@CoNEXT, 2023)

Encrypted traffic classification: the QUIC case. - Jan Luxemburk; Karel Hynek; Tomás Cejka (TMA, 2023)

Fine-grained TLS services classification with reject option. - Jan Luxemburk; Tomás Cejka (Comput. Networks, 2023)

Towards Reusable Models in Traffic Classification. - Jan Luxemburk; Karel Hynek (TMA, 2024)

Lightweight Traffic Classification: A Simple Baseline Matching Deep Learning Performance. - Jaroslav Pesek; Jan Luxemburk; Karel Hynek (TMA, 2025)

Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success. - Jan Luxemburk; Karel Hynek; Richard Plný; Tomás Cejka (CoRR, 2025)

When Simple Model Just Works: Is Network Traffic Classification in Crisis? - Kamil Jerábek; Jan Luxemburk; Richard Plný; Josef Koumar; Jaroslav Pesek; Karel Hynek (CoRR, 2025)