9 citations · 21 across the 6 of their papers we have counts for
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cs.LG2020★ 2 cited
Anomaly Detection by Recombining Gated Unsupervised Experts
J. -P. Schulze, P. Sperl, K. Böttinger
Anomaly detection has been considered under several extents of prior knowledge. Unsupervised methods do not require any labelled data, whereas semi-supervised methods leverage some…
cs.CR2020★ 9 cited
: Activation Anomaly Analysis
Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain informati…