Hacking self-driving cars in the real world: laser pointer attacks & drones that make cars disappear. 🚗⚡😎🚨💥

An international group of academic security researchers share their survey of physical attacks performed in the real world (not just digitally) that trick Autonomous Driving Systems (ADS) into making incorrect decisions.

ADS rely heavily on sensors (cameras, LiDAR, radar), so the paper is a great summary of practical attacks on these systems up until the end of 2025. The authors also shed light on how ADS work and the weak points identified so far.

Attacks on autonomous vehicle sensors using a laser pointer or a hovering drone in front of the vehicle that can hide another car - a very interesting read! Don’t forget to share it with your colleagues :)

More details:

Adversarial Attacks on Autonomous Driving Systems in the Physical World: A Survey [PDF]: https://tianweiz07.github.io/Papers/24-tiv.pdf

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原始链接: https://it4sec.substack.com/p/hacking-self-driving-cars-in-the
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