Yufei Han

Partially supervised graph embedding for positive unlabelled feature selection

2016 · International Joint Conference on Artificial Intelligence

Selecting discriminative features in positive unlabelled (PU) learning tasks is a challenging problem due to lack of negative class information. Traditional supervised and semi-supervised feature selection methods are not able to be applied directly in …

Model Stealing Attacks Against Inductive Graph Neural Networks

2022 · 2022 IEEE Symposium on Security and Privacy (SP)

Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new family of machine learning (ML) models, have been proposed to fully leverage graph data to build powerful applications. In particular, …

Towards Understanding Alerts raised by Unsupervised Network Intrusion Detection Systems

2023

The use of Machine Learning for anomaly detection in cyber security-critical applications, such as intrusion detection systems, has been hindered by the lack of explainability. Without understanding the reason behind anomaly alerts, it is too …