MaskDiff-AD uses reconstruction difficulty of masked coordinates in a diffusion model trained only on nominal data to detect anomalies, with a non-parametric variant and theoretical error guarantees, achieving the best average rank on 18 datasets.
Unsupervised anomaly detection for auditing data and impact of categorical encodings.arXiv preprint arXiv:2210.14056, 2022
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Masked Diffusion Modeling for Anomaly Detection
MaskDiff-AD uses reconstruction difficulty of masked coordinates in a diffusion model trained only on nominal data to detect anomalies, with a non-parametric variant and theoretical error guarantees, achieving the best average rank on 18 datasets.