FlowCLIP applies contrastive pretraining with domain-name text supervision to learn transferable representations from QUIC traffic side-channel features, matching supervised performance on time-split evaluation.
Waiting for quic: Passive measurements to understand quic deployments,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A contrastive learning transformer embeds network flow sequences to enable correlation clustering that groups scanner sources consistently with labels.
citing papers explorer
-
Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data
A contrastive learning transformer embeds network flow sequences to enable correlation clustering that groups scanner sources consistently with labels.