Talk: Making ML-Based Anomaly Detection Effective for Industrial Control Systems

UMBC professor Clement Fung talks on Making ML-Based Anomaly Detection Effective for Industrial Control Systems, 12–1pm on Friday, October 9, 2026, online via WebEx. Industrial control systems (ICS) govern critical infrastructure and processes, such as power generation, chemical processing, and water treatment. To defend ICS from harm, machine learning is commonly proposed for detecting anomalies in ICS process values. This talk covers past and future work that evaluates and proposes solutions to apply anomaly detection to an ICS more effectively. Read more here.