| 2025 | CNSM | Taming Volatility: Stable and Private QUIC Classification with Federated Learning. | Richard Jozsa, Karel Hynek, Adrin Pekr |
| 2025 | CNSM | CESNET TS-Zoo: A Library for Reproducible Analysis of Network Traffic Time Series. | Milan Kures, Josef Koumar, Karel Hynek |
| 2025 | CNSM | On Evaluation of Data Fusion Methods for Network Traffic Classification. | Richard Pln, Karel Hynek |
| 2024 | CNSM | WIF: Efficient Library for Network Traffic Analysis. | Richard Pln, Karel Hynek, Pavel Siska |
| 2023 | CNSM | Network Traffic Classification Based on Single Flow Time Series Analysis. | Josef Koumar, Karel Hynek, Toms Cejka |
| 2022 | CNSM | Tunneling through DNS over TLS providers. | Luks Melcher, Karel Hynek, Toms Cejka |
| 2022 | ESORICS | Large Scale Analysis of DoH Deployment on the Internet. | Sebastin Garca, Joaqun Bogado, Karel Hynek, Dmitrii Vekshin, Toms Cejka, Armin Wasicek |
| 2021 | CNSM | Towards Evaluating Quality of Datasets for Network Traffic Domain. | Dominik Soukup, Peter Tisovck, Karel Hynek, Toms Cejka |
| 2021 | CNSM | Novel HTTPS classifier driven by packet bursts, flows, and machine learning. | Zdena Tropkov, Karel Hynek, Toms Cejka |
| 2020 | DSD | Pipelined ALU for effective external memory access in FPGA. | Toms Benes, Michal Kekely, Karel Hynek, Toms Cejka |
| 2020 | SEC | Refined Detection of SSH Brute-Force Attackers Using Machine Learning. | Karel Hynek, Toms Benes, Toms Cejka, Hana Kubtov |