most citedPhysical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

2 citations · 3 across the 3 of their papers we have counts for

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cs.CV2025

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights

Junhao Zheng, Jiahao Sun, Chenhao Lin +6

Developing reliable defenses against patch attacks on object detectors has attracted increasing interest. However, we identify that existing defense evaluations lack a unified and…

cs.CV2024★ 2 cited

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

Junhao Zheng, Chenhao Lin, Jiahao Sun +3

Deep learning-based monocular depth estimation (MDE), extensively applied in autonomous driving, is known to be vulnerable to adversarial attacks. Previous physical attacks against…