Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns

1 code implementation • 16 Sep 2021 • Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren

This paper investigates the feasibility of targeted attacks through visually learned patterns placed on physical objects in the environment, a threat model that combines the practicality and effectiveness of the existing ones.

Autonomous Driving