Network Anomaly Detection Using Federated Learning. - William Marfo; Deepak K. Tosh; Shirley V. Moore (MILCOM, 2022)

Condition monitoring and anomaly detection in cyber-physical systems. - William Marfo; Deepak K. Tosh; Shirley V. Moore (SoSE, 2022)

Adversarial Sampling for Fairness Testing in Deep Neural Network. - Tosin Ige; William Marfo; Justin Tonkinson; Sikiru Adewale; Bolanle Hafiz Matti (CoRR, 2023)

Enhancing Network Anomaly Detection Using Graph Neural Networks. - William Marfo; Deepak K. Tosh; Shirley V. Moore (MedComNet, 2024)

Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning. - William Marfo; Pablo Moriano; Deepak K. Tosh; Shirley V. Moore (CoRR, 2024)

Network Anomaly Detection in Distributed Edge Computing Infrastructure. - William Marfo; Enrique A. Rico; Deepak K. Tosh; Shirley V. Moore (CCNC, 2025)

Efficient Client Selection in Federated Learning. - William Marfo; Deepak K. Tosh; Shirley V. Moore (CCNC, 2025)

Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case. - William Marfo; Deepak K. Tosh; Shirley V. Moore (ICNC, 2025)

Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems. - William Marfo; Deepak K. Tosh; Shirley V. Moore (ICNC, 2025)

Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection. - William Marfo; Deepak K. Tosh; Shirley V. Moore; Joshua Suetterlein; Joseph B. Manzano (CoRR, 2025)