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Unsupervised User-Based Insider Threat Detection Using Bayesian Gaussian Mixture Models
Insider threats are a growing concern for organizations due to the amount of damage that their members can inflict by combining their privileged access and domain knowledge.
Out-of-distribution detection for regression tasks: parameter versus predictor entropy
Focusing on regression tasks, we choose a simple yet insightful model for this OOD distribution and conduct an empirical evaluation of the ability of various methods to discriminate OOD samples from the data.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
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