Fig. 3.

Example of MahaAD with a single bivariate Gaussian (i.e., a single 2D latent representation). A multivariate Gaussian is fit to the latent representations of the training samples and is used to determine the Mahalanobis distance of the test samples’ latent representations. Based on the distance, samples are considered in- or out-of-distribution