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Opening the Deep Pandora Box: Explainable Traffic Classification.

, , and . INFOCOM Workshops, page 1292-1293. IEEE, (2020)

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Statistical network monitoring: Methodology and application to carrier-grade NAT., , , , , , and . Comput. Networks, (2016)Who to blame when YouTube is not working? detecting anomalies in CDN-provisioned services., , , , and . IWCMC, page 435-440. IEEE, (2014)Comparing P2PTV Traffic Classifiers., , , , , , and . ICC, page 1-6. IEEE, (2010)A First Characterization of Anycast Traffic from Passive Traces., , , , , , and . TMA, IFIP, (2016)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)A Study of the Impact of DNS Resolvers on Performance Using a Causal Approach., , , , and . ITC, page 10-18. IEEE, (2015)Real-time deep learning based traffic analytics., , , and . SIGCOMM Posters and Demos, page 76-78. ACM, (2020)Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching., , , and . INFOCOM, page 2118-2127. IEEE, (2022)Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation., , , , , and . IMC, page 36-51. ACM, (2023)Towards a systematic multi-modal representation learning for network data., , , , and . HotNets, page 181-187. ACM, (2022)