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Many or Few Samples?: Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification.

, , , , and . TMA, page 1-10. IEEE, (2023)

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Characterization of ISP Traffic: Trends, User Habits, and Access Technology Impact., , , , and . IEEE Trans. Network and Service Management, 9 (2): 142-155 (2012)Benchmarking Class Incremental Learning in Deep Learning Traffic Classification., , , , , , , and . IEEE Trans. Netw. Serv. Manag., 21 (1): 51-69 (February 2024)Back in control - An extensible middle-box on your phone., , , , , , and . CoRR, (2020)On the detection of network traffic anomalies in content delivery network services., , , , and . ITC, page 1-9. IEEE, (2014)Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications., , , and . CoRR, (2021)Many or Few Samples?: Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification., , , , and . TMA, page 1-10. IEEE, (2023)A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification., , , , , , and . TMA, IFIP, (2021)Toward Generative Data Augmentation for Traffic Classification., , , , and . StudentWorkshop@CoNEXT, page 33-34. ACM, (2023)Dissecting Video Server Selection Strategies in the YouTube CDN., , , , , and . ICDCS, page 248-257. IEEE Computer Society, (2011)Reviewing Traffic Classification., , , , , and . Data Traffic Monitoring and Analysis, volume 7754 of Lecture Notes in Computer Science, Springer, (2013)