Combining a triplet autoencoder with DBSCAN centroid thresholds improves detection of unseen malware families in two datasets, but the temporal evaluation protocol and unreported hyperparameters undermine the results.
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Addressing malware family concept drift with triplet autoencoder
Combining a triplet autoencoder with DBSCAN centroid thresholds improves detection of unseen malware families in two datasets, but the temporal evaluation protocol and unreported hyperparameters undermine the results.