DoHFuse achieves 88.05% closed-world accuracy on 449 classes and strong open-world detection using a new DoH/3 traffic dataset.
On the accuracy of password strength meters
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
FlowPaint reframes censorship evasion as semantic image-to-image editing with instruction-tuned diffusion models, claiming single-prompt robustness against both rule-based and ML-based censors.
ResAware improves cross-environment website fingerprinting robustness by distilling resource-privileged knowledge into a traffic-only student model, raising Var-CNN F1 from 72.77% to 81.49% under 150-day drift on a 160k-sample dataset.
Shuffled DP-SGD requires σ ≥ 1/√(2 ln M) or κ ≥ (1/√8)(1 - 1/√(4π ln M)) to limit adversarial advantage, preventing strong privacy and high utility simultaneously.
Pedagogical friction during password creation leads to better rule compliance and behavior-knowledge alignment in subsequent unguided tasks.
Traffic-CBM organizes multimodal encrypted traffic evidence into an explicit hierarchical concept space for structurally interpretable classification.
citing papers explorer
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Traffic-CBM: A Structurally Interpretable Multimodal Framework for Encrypted Traffic Classification
Traffic-CBM organizes multimodal encrypted traffic evidence into an explicit hierarchical concept space for structurally interpretable classification.