TracInAD: Measuring Influence for Anomaly Detection

Hugo Thimonier, Fabrice Popineau, Arpad Rimmel +2

As with many other tasks, neural networks prove very effective for anomaly detection purposes. However, very few deep-learning models are suited for detecting anomalies on tabular…