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"[RCF] Enhancing Few-shot Website Fingerprinting via Supervised Contrastive Learning and Ensemble Late-Fusion"

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DataCite Commons2026-03-05 更新2026-05-03 收录
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https://ieee-dataport.org/documents/enhancing-few-shot-website-fingerprinting-supervised-contrastive-learning-and-ensemble-0
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资源简介:
"This dataset and code repository supports the experiments in the paper \u201cEnhancing Few-shot Website Fingerprinting via Supervised Contrastive Learning and Ensemble Late-Fusion.\u201d The dataset contains network traffic traces collected under controlled Tor browsing scenarios, along with preprocessing scripts and experimental pipelines. The provided source code implements data loading utilities, supervised contrastive training, and ensemble late-fusion evaluation for website fingerprinting classifiers. As the code was originally developed and tested within the authors' experimental environment, minor adjustments may be required to adapt it to different system configurations. These resources aim to facilitate reproducible research on few-shot website fingerprinting and encrypted traffic analysis."
提供机构:
IEEE DataPort
创建时间:
2026-03-05
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