DoHFuse achieves 88.05% closed-world accuracy on 449 classes and strong open-world detection using a new DoH/3 traffic dataset.
Information exposure from consumer iot devices: A multidimensional, network-informed measurement approach
2 Pith papers cite this work. Polarity classification is still indexing.
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A real-world multi-modal Wi-Fi fault dataset and unified benchmark are introduced to evaluate diagnosis approaches across tasks, modalities, and LLM-based reasoning.
citing papers explorer
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DoHFuse: A Dual-Branch Architecture with DMAGLSTM for Website Fingerprinting over DNS over HTTPS/3
DoHFuse achieves 88.05% closed-world accuracy on 449 classes and strong open-world detection using a new DoH/3 traffic dataset.
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Toward Realistic Wi-Fi Fault Diagnosis: A Multi-Modal Benchmark
A real-world multi-modal Wi-Fi fault dataset and unified benchmark are introduced to evaluate diagnosis approaches across tasks, modalities, and LLM-based reasoning.