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
目录
最新
- Multiple vulnerabilities in [Censored] electric motorcycles: how to hack a vehicle without one. ⚡🏍️📱🔬🤭
- Hacking wireless security cameras with a laser: from 120 meters away with a 100% success rate! 🛜📹 🔫☠️🥷🏻
- Hack 3D printers into robots: cheap, easy-to-manage & modify lab automation. 📇🛠️🤖🦾🌟
- New attack on OpenClaw or similar AI agents that infects them with “malicious skills.” 🤖💉👾😵💫🤡
- Hacking the Freebox HD (TV/Internet box): how one can use the DooM to exploit a router. 📺📦🔌👨🏻💻💰
- Jamming and spoofing of GPS on ships: real-world attacks on global navigation systems 🛳️🧭😵💫👁️👽
- Hacking ECU of heavy-duty vehicles (trucks, buses, etc.): How to attack the J1939 protocol at scale. 🚜🔧👨🏻💻🦠🎉
- Hacking crypto (cryptography! 🤪) without hard math: how to find bugs in implementation.👨🏻💻🔏👩🏿💻🤔💥