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Hongjun Choi

2 accepted papers

2024

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection

ICLR 2024poster

Multi-sensor fusion (MSF) is widely used in autonomous vehicles (AVs) for perception, particularly for 3D object detection with camera and LiDAR sensors. The purpose of fusion is to capitalize on the advantages of each modality while minimizing its weaknesses. Advanced deep neural network (DNN)-base…

2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

ECCV 2022poster

"Deep learning has substantially boosted the performance of Monocular Depth Estimation (MDE), a critical component in fully vision-based autonomous driving (AD) systems (e.g., Tesla and Toyota). In this work, we develop an attack against learning-based MDE. In particular, we use an optimization-base…