UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. (arXiv:2111.10010v2 [cs.LG] UPDATED)

The visualization and detection of anomalies (outliers) are of crucial
importance to many fields, particularly cybersecurity. Several approaches have
been proposed in these fields, yet to the best of our knowledge, none of them
has fulfilled both objectives, simultaneously or cooperatively, in one coherent
framework. The visualization methods of these approaches were introduced for
explaining the output of a detection algorithm, not for data exploration that
facilitates a standalone visual detection. This is our point of departure:
UN-AVOIDS, an unsupervised …

arxiv detection lg outliers scoring unsupervised