FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced Resilient State-Awareness of Hybrid Energy Systems. - Dumidu Wijayasekara; Ondrej Linda; Milos Manic; Craig Rieger (IEEE Trans. Cybern., 2014)

Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions. - Dumidu Wijayasekara; Ondrej Linda; Milos Manic; Craig Rieger (IEEE Trans. Ind. Informatics, 2014)

On Critical Infrastructures, Their Security and Resilience - Trends and Vision. - Craig Rieger; Milos Manic (CoRR, 2018)

Integrated Cyber Physical Assessment and Response for Improved Resiliency. - Patrick Sivils; Craig Rieger; Kasun Amarasinghe; Milos Manic (The Internet of Things for Smart Urban Ecosystems, 2019)

Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. - Daniel L. Marino; Chathurika S. Wickramasinghe; Craig Rieger; Milos Manic (IECON, 2019)

Resilience in Energy Industries - Recent Advances, Open Challenges, and Future Directions. - Alfonso Damiano; Craig Rieger; Valeriy Vyatkin; Milos Manic (IEEE Trans. Ind. Informatics, 2019)

An Operational Resilience Metric for Modern Power Distribution Systems. - Tyler Phillips 002; Timothy McJunkin; Craig Rieger; John Gardner; Hoda Mehrpouyan (QRS Companion, 2020)

EM Fingerprints: Towards Identifying Unauthorized Hardware Substitutions in the Supply Chain Jungle. - Constantinos Kolias; Daniel Barbará; Craig Rieger; Jacob Ulrich (SP (Workshops), 2020)

Industrial and Critical Infrastructure Security: Technical Analysis of Real-Life Security Incidents. - Georgios Michail Makrakis; Constantinos Kolias; Georgios Kambourakis; Craig Rieger; Jacob Benjamin (IEEE Access, 2021)

The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. - Daniel L. Marino; Chathurika S. Wickramasinghe; Vivek Kumar Singh; Jake Gentle; Craig Rieger; Milos Manic (IEEE Access, 2021)

Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. - Daniel L. Marino; Chathurika S. Wickramasinghe; Billy Tsouvalas; Craig Rieger; Milos Manic (IEEE Access, 2021)

Resilient Control Systems - Basis, Benchmarking and Benefit. - Craig Rieger; Kevin M. Schultz; Thomas Carroll; Timothy McJunkin (IEEE Access, 2021)

Explainable Unsupervised Machine Learning for Cyber-Physical Systems. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Daniel L. Marino; Craig Rieger; Milos Manic (IEEE Access, 2021)

Vulnerabilities and Attacks Against Industrial Control Systems and Critical Infrastructures. - Georgios Michail Makrakis; Constantinos Kolias; Georgios Kambourakis; Craig Rieger; Jacob Benjamin (CoRR, 2021)

Multi-Agent Learning for Resilient Distributed Control Systems. - Yuhan Zhao; Craig Rieger; Quanyan Zhu (CoRR, 2022)

Detecting Code Injections in Noisy Environments Through EM Signal Analysis and SVD Denoising. - Ekaterina Miller; Georgios Michail Makrakis; Kurt A. Vedros; Constantinos Kolias; Craig Rieger; Daniel Barbará (CoRR, 2022)

Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. - Harindra S. Mavikumbure; Victor Cobilean; Chathurika S. Wickramasinghe; Tyler Phillips 002; Benny J. Varghese; Barney Carlson; Craig Rieger; Timothy D. Pennington; Milos Manic (ISIE, 2023)

A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study. - Victor Cobilean; Harindra S. Mavikumbure; Brady J. Mcbride; Bjorn Vaagensmith; Vivek Kumar Singh; Ruixuan Li 002; Craig Rieger; Milos Manic (IEEE Access, 2023)

Cybersecurity Resilience Demonstration for Wind Energy Sites in Co-Simulation Environment. - Michael McCarty; Jay Johnson; Bryan Richardson; Craig Rieger; Rafer Cooley; Jake Gentle; Bradley Rothwell; Tyler Phillips 002; Beverly Novak; Megan Culler; Brian J. Wright (IEEE Access, 2023)

Scalable Resilience Analysis Through Power Systems Co-Simulation. - Tyler Phillips 002; Laurentiu D. Marinovici; Craig Rieger; Alice Orrell (IEEE Access, 2023)

Towards Scalable EM-based Anomaly Detection For Embedded Devices Through Synthetic Fingerprinting. - Kurt A. Vedros; Georgios Michail Makrakis; Constantinos Kolias; Robert C. Ivans; Craig Rieger (CoRR, 2023)

RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. - Chathurika S. Wickramasinghe; Daniel L. Marino; Harindra S. Mavikumbure; Victor Cobilean; Timothy D. Pennington; Benny J. Varghese; Craig Rieger; Milos Manic (IEEE Trans. Intell. Transp. Syst., 2023)

Guest Editorial: Special section on Resilient Control of Cyber-Physical Power and Energy Systems. - Veronica Adetola; Thomas Edgar; Sai Pushpak Nandanoori; Quanyan Zhu; Craig Rieger; Masoud Abbaszadeh (IEEE Trans. Control. Syst. Technol., 2024)

Self-Supervised and Interpretable Anomaly Detection Using Network Transformers. - Daniel L. Marino; Chathurika S. Wickramasinghe; Craig Rieger; Milos Manic (IEEE Trans. Ind. Informatics, 2025)