most citedDeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

113 citations · 113 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2021★ 113 cited

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Dongqi Han, Zhiliang Wang, Wenqi Chen +6

Unsupervised Deep Learning (DL) techniques have been widely used in various security-related anomaly detection applications, owing to the great promise of being able to detect unfo…