Imagine being a passenger in a self-driving car as the vehicle starts veering off the road. It’s not a faulty sensor causing the dangerous situation—it’s a cyberattack. Hackers can access the deep learning (DL) neural networks at the heart of the vehicle’s computer system, compromising the safety of its passengers, as well as other drivers and pedestrians.
New tool recovers compromised deep-learning models so researchers can understand what went wrong
