Does Physical Adversarial Example Really Matter to Autonomous Driving?
Towards System-Level Effect of Adversarial Object Evasion Attack

Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack

23 August 2023

Ningfei Wang

Qi Alfred Chen

Papers citing "Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack"

6 / 6 papers shown

Title
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios Jingzheng Li X. Liu Shikui Wei Zhijun Chen B. Li Qing-Wu Guo Xianqi Yang Yanjun Pu Jiakai Wang AAML ELM 59 0 0 31 Mar 2025
PCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator Masoud Jamshidiyan Tehrani Jinhan Kim Paolo Tonella 61 0 0 12 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 75 0 0 09 Mar 2025
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 33 2 0 06 Dec 2023
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation Sever Topan Karen Leung Yuxiao Chen Pritish Tupekar Edward Schmerling Jonas Nilsson Michael Cox Marco Pavone 26 19 0 24 Jun 2022
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 139 422 0 16 Apr 2018