Securing Tesla and Mobileye from Split-Second Phantom Attacks


Posted on in Presentations

This session will demonstrate how attackers can apply split-second phantom attacks, causing two commercial advanced driving-assistance systems (Tesla Model X and Mobileye 630) to trigger a sudden stop in the middle of the road, apply the brakes, and issue false notifications. A countermeasure consisting of four neural networks will also be presented that assesses the authenticity of a detected object.


Participants
Ben Nassi

Ph.D. Student / Security Researcher, Ben-Gurion University of the Negev

Dr. Yisroel Mirsky

Postdoctoral Fellow, Georgia Tech

Machine Learning & Artificial Intelligence Mobile & IoT Security

Internet of Things artificial intelligence & machine learning


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