Security of Multi-Sensor Fusion Based Perception in Autonomous Driving Under Physical-World Attacks
Offered By: IEEE via YouTube
Course Description
Overview
Explore the critical security challenges facing multi-sensor fusion-based perception systems in autonomous driving when subjected to physical-world attacks in this 15-minute IEEE presentation. Gain insights into the vulnerabilities of sensor fusion technologies and their potential impact on the safety and reliability of self-driving vehicles. Examine the latest research findings and proposed countermeasures to enhance the resilience of autonomous driving systems against real-world threats.
Syllabus
Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Taught by
IEEE Symposium on Security and Privacy
Tags
Related Courses
Sensor SecurityIEEE via YouTube Tracking Ransomware End-to-end
IEEE via YouTube Cinderella - Turning Shabby X.509 Certificates into Elegant Anonymous Credentials with the Magic of Verifiable Computation
IEEE via YouTube Algorithmic Transparency via Quantitative Input Influence - Theory and Experiments with Learning Systems
IEEE via YouTube Bitcoin Over Tor Isn't a Good Idea
IEEE via YouTube