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 information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activ…
data-mining
paper
semi-supervised-learning
anomaly
anomaly-detection
tensorflow2
ecml-pkdd
activation-analysis
activation-anomaly-analysis
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Updated
May 26, 2022 - Python