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NetLexicon: Learning Discrete Behavioral Representations for Encrypted Web Traffic Analysis
Encrypted Web traffic analysis requires effective representations of observable communication behavior. Existing pretraining methods often adapt NLP/CV objectives and sequence architectures, motivating learning objectives that capture traffic-specific interaction patterns. We present NetLexicon, a d
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