5 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…
Dynamic Risk Assessments for Offensive Cybersecurity Agents
Boyi Wei, Benedikt Stroebl, Jiacen Xu +3
Foundation models are increasingly becoming better autonomous programmers, raising the prospect that they could also automate dangerous offensive cyber-operations. Current frontier…
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…