Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples

Research article (IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2023) · cited 13× · AI/ML
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Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples

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Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/few-shot-learning-approaches-for-classifying-rare-mobile-app-encrypted-traffic-samples
MLA “Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/few-shot-learning-approaches-for-classifying-rare-mobile-app-encrypted-traffic-samples.
BibTeX @misc{4ortxyz_few-shot-learning-approaches-for-classifying-rare-mobile-app-encrypted-traffic-samples_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples}}, year = {2026}, url = {https://4ort.xyz/entity/few-shot-learning-approaches-for-classifying-rare-mobile-app-encrypted-traffic-samples}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples — https://4ort.xyz/entity/few-shot-learning-approaches-for-classifying-rare-mobile-app-encrypted-traffic-samples (retrieved 2026-05-24)

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