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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Finite-order AFD and FMM decompositions of biomedical signals are mathematically equivalent, and their estimation procedures solve the same optimization problem under Gaussian noise.
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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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Unifying Adaptive Fourier and M\"obius-Based Models for Efficient and Interpretable Biomedical Signal Decomposition
Finite-order AFD and FMM decompositions of biomedical signals are mathematically equivalent, and their estimation procedures solve the same optimization problem under Gaussian noise.