Zhisheng Hu, Cooper de Nicola, Ali Ayoub, and Shanit Gupta, Zoox, Inc.
This document presents a demonstration of an adversarial scenario fuzzer for testing vehicle control systems in simulated environments. The fuzzer generates adversarial teleoperation commands optimized to maximize system vulnerabilities, helping identify deficiencies in vehicle controllers. The demonstration includes an overview of the fuzzer's architecture, its workflow, and an example adversarial test case designed to assess the robustness of autonomous driving systems against malicious teleoperation inputs.
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