This National Science Foundation (NSF) CAREER grant, awarded under the CISE Federal Grant Program (CFDA 47.070), provides $226,180 to the University of Notre Dame to enhance the security of cyber-physical systems (CPS) like autonomous vehicles that utilize reinforcement learning. The project focuses on developing innovations to achieve safe and secure reinforcement learning, using precise specifications expressed in signal temporal logic (STL) to study functional and timing vulnerabilities in these systems and design mitigation strategies. The research will leverage the CARLA simulator and real-world autonomous car testbeds to validate security measures and ensure resilient CPS deployment in complex and adversarial conditions. This project aims to discover potential security risks targeting the learning process and real-time operation of autonomous vehicles, and develop real-time detection and diagnostic tools to harden these systems against such risks, ultimately improving safety in transportation, robotics, and other critical applications.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $226.2k | 4/1/25 |