3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2026★ 3 cited
Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success
Jan Luxemburk, Karel Hynek, Richard Plný +1
Encrypted traffic classification (TC) methods must adapt to new protocols and extensions as well as to advancements in other machine learning fields. In this paper, we adopt a tran…
cs.LG2025
Drift-Based Dataset Stability Benchmark
Dominik Soukup, Richard Plný, Daniel Vašata +1
Machine learning (ML) represents an efficient and popular approach for network traffic classification. However, network traffic classification is a challenging domain, and trained…