Adversarial Driving: Attacking End-to-End Autonomous Driving

Understand

As research in deep neural networks advances, deep convolutional networks become promising for autonomous driving tasks.

• In particular, there is an emerging trend of employing end-to-end neural network models for autonomous driving.
• However, previous research has shown that deep neural network classifiers are vulnerable to adversarial attacks.
• While for regression tasks, the effect of adversarial attacks is not as well understood.