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Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead
Recent works propose to use multivariate Gaussian distributions as models of posterior distributions at different layers of the CNN (i. e., for low- and upper-level features), which leads to the confidence scores based on the Mahalanobis distance.
HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic
In our work, we not only aim at generating a suitable embedding space, but also at the interpretability of the proposed model.
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