46 citations · 158 across the 59 of their papers we have counts for
8 papers · 1 filter
SENSE: Semantically Enhanced Node Sequence Embedding
Swati Rallapalli, Liang Ma, Mudhakar Srivatsa +4
Effectively capturing graph node sequences in the form of vector embeddings is critical to many applications. We achieve this by (i) first learning vector embeddings of single grap…
Federated Learning for Coalition Operations
D. Verma, S. Calo, S. Witherspoon +8
Machine Learning in coalition settings requires combining insights available from data assets and knowledge repositories distributed across multiple coalition partners. In tactical…
Quickest Detection of Growing Dynamic Anomalies in Networks
Georgios Rovatsos, Venugopal V. Veeravalli, Don Towsley +1
The problem of quickest growing dynamic anomaly detection in sensor networks is studied. Initially, the observations at the sensors, which are sampled sequentially by the decision…
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design
Ziyao Zhang, Liang Ma, Konstantinos Poularakis +3
In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralised control, scalability, and…
A Game-Theoretic Framework for Resource Sharing in Clouds
Faheem Zafari, Kin K. Leung, Don Towsley +2
Providing resources to different users or applications is fundamental to cloud computing. This is a challenging problem as a cloud service provider may have insufficient resources…
Attribution-driven Causal Analysis for Detection of Adversarial Examples
Susmit Jha, Sunny Raj, Steven Lawrence Fernandes +5
Attribution methods have been developed to explain the decision of a machine learning model on a given input. We use the Integrated Gradient method for finding attributions to defi…