#anomaly-scoring News & Analysis

Masked Diffusion Modeling for Anomaly Detection

Researchers propose MaskDiff-AD, a novel anomaly detection method using masked diffusion models that operates on categorical and discrete data without requiring reverse-time sampling. The approach demonstrates competitive or superior performance compared to existing anomaly detection baselines across tabular and text datasets.