Adversarial Robustness Prototype for Autonomous Driving

A hands-on prototype that connects adversarial ML insights to a physical autonomy demo.

Highlights

• • Identified adversarial-attack vulnerabilities and built a real-world prototype to demonstrate practical robustness.
• • Integrated embedded compute + sensing and validated behavior in controlled test scenarios.