Recently unsupervised machine learning based systems have been developed to detect
zero-day Web attacks, which can effectively enhance existing Web Application Firewalls …

Real-time analytics and decision-making require online anomaly detection (OAD) to handle
drifts in data streams efficiently and effectively. Unfortunately, existing approaches are often …

Transformer, as one of the most advanced neural network models in Natural Language
Processing (NLP), exhibits diverse applications in the field of anomaly detection. To inspire …

Database systems are widely employed to store crucial data across domains. However, an
increasing emergence of stealthy abnormal database access behaviors, such as re …

The goal of efficient anomaly or outlier detection is to learn the hidden representation of the
data by identifying independent factors and minimizing information loss. Variational …