222 citations · 465 across the 15 of their papers we have counts for
4 papers · 1 filter
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Su Wang, Zhiliang Wang, Tao Zhou +6
Host-based threats such as Program Attack, Malware Implantation, and Advanced Persistent Threats (APT), are commonly adopted by modern attackers. Recent studies propose leveraging…
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…
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova +2
We investigate training machine learning (ML) models across a set of geo-distributed, resource-constrained clusters of devices through unmanned aerial vehicles (UAV) swarms. The pr…
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour +3
The conventional federated learning (FedL) architecture distributes machine learning (ML) across worker devices by having them train local models that are periodically aggregated b…