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Yongsu Kim

2 accepted papers

2023

ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion

ICCV 2023poster

Adversarial camouflage has garnered attention for its ability to attack object detectors from any viewpoint by covering the entire object's surface. However, universality and robustness in existing methods often fall short as the transferability aspect is often overlooked, thus restricting their app…

Cited by 25PDFScholar
2022

DTA: Physical Camouflage Attacks Using Differentiable Transformation Network

CVPR 2022poster

To perform adversarial attacks in the physical world, many studies have proposed adversarial camouflage, a method to hide a target object by applying camouflage patterns on 3D object surfaces. For obtaining optimal physical adversarial camouflage, previous studies have utilized the so-called neural…

Cited by 82PDFScholar