Separating presence from magnitude in sparse temporal audit data lets a dual-channel autoencoder focus learning on anomalous activity for insider threat detection.
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Signal Decomposition Reveals Structure in Insider Threat Detection under Sparse Temporal Data
Separating presence from magnitude in sparse temporal audit data lets a dual-channel autoencoder focus learning on anomalous activity for insider threat detection.