UMBC Prof. Clement Fung talks on Making ML-Based Anomaly Detection Effective for Industrial Control Systems, 12–1pm Fri., Oct. 9, online via WebEx. Industrial control systems (ICS) govern critical infrastructure and processes, such as power generation, chemical processing, and water treatment. To defend ICS, machine learning is commonly used to detect anomalies in ICS process values. This talk covers past and future work evaluating and proposing solutions to apply anomaly detection to ICS more effectively. Read more and register here.