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News/UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
arxiv
PublishedMay 19, 2026 at 4:00 AM
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UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts

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Publisher summary· verbatim

arXiv:2605.17575v1 Announce Type: cross Abstract: Network traffic classification (NTC) models often suffer severe performance degradation when deployed in real-world environments due to distribution shifts caused by changing network conditions. Existing robustness-enhancing approaches are commonly c

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