A report by the European Union Agency for Cybersecurity (ENISA) describes autonomous vehicles as "highly vulnerable to a wide range of attacks" that could jeopardize passengers, pedestrians, and people in other vehicles.
The report identifies potential threats to self-driving vehicles including sensor attacks with light beams, as well as adversarial machine learning (ML) hacks.
With growing use of artificial intelligence (AI) and the sensors that power autonomous vehicles offering greater potential for atttacks, the researchers advised policymakers and businesses to foster a security culture across the automotive supply chain, including third-party providers.
The researchers suggested AI and ML systems for autonomous vehicles “should be designed, implemented, and deployed by teams where the automotive domain expert, the ML expert, and the cybersecurity expert collaborate."
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