4 papers · 1 filter
Beyond Crash: Hijacking Your Autonomous Vehicle for Fun and Profit
Qi Sun, Ahmed Abdo, Luis Burbano +4
Autonomous Vehicles (AVs), especially vision-based AVs, are rapidly being deployed without human operators. As AVs operate in safety-critical environments, understanding their robu…
CHAI: Command Hijacking against embodied AI
Luis Burbano, Diego Ortiz, Qi Sun +5
Embodied Artificial Intelligence (AI) promises to handle edge cases in robotic vehicle systems where data is scarce by using common-sense reasoning grounded in perception and actio…
Robust and Efficient AI-Based Attack Recovery in Autonomous Drones
Diego Ortiz Barbosa, Luis Burbano, Siwei Yang +4
We introduce an autonomous attack recovery architecture to add common sense reasoning to plan a recovery action after an attack is detected. We outline use-cases of our architectur…
D4+: Emergent Adversarial Driving Maneuvers with Approximate Functional Optimization
Diego Ortiz Barbosa, Luis Burbano, Carlos Hernandez +4
Intelligent mechanisms implemented in autonomous vehicles, such as proactive driving assist and collision alerts, reduce traffic accidents. However, verifying their correct functio…