4 papers
Convergent Privacy Framework for Multi-layer GNNs through Contractive Message Passing
Yu Zheng, Chenang Li, Zhou Li +1
Differential privacy (DP) has been integrated into graph neural networks (GNNs) to protect sensitive structural information, e.g., edges, nodes, and associated features across vari…
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
Jiacen Xu, Chenang Li, Yu Zheng +1
Graph-based Network Intrusion Detection Systems (GNIDS) have gained significant momentum in detecting sophisticated cyber-attacks, such as Advanced Persistent Threats (APTs), withi…
Network-Aware Differential Privacy
Zhou Li, Yu Zheng, Tianhao Wang +1
Differential privacy (DP) is a privacy-enhancement technology (PET) that receives prominent attention from the academia, industry, and government. One main development over the pas…
From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection
Danyu Sun, Jinghuai Zhang, Jiacen Xu +3
Host-based intrusion detection system (HIDS) is a key defense component to protect the organizations from advanced threats like Advanced Persistent Threats (APT). By analyzing the…