Hugo Thimonier

TracInAD: Measuring Influence for Anomaly Detection

2022 · 2022 International Joint Conference on Neural Networks (IJCNN)

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 datasets. This paper proposes a novel methodology to flag …