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

no code implementations • ICCV 2023 • Naufal Suryanto, Yongsu Kim, Harashta Tatimma Larasati, Hyoeun Kang, Thi-Thu-Huong Le, Yoonyoung Hong, Hunmin Yang, Se-Yoon Oh, Howon Kim

Adversarial camouflage has garnered attention for its ability to attack object detectors from any viewpoint by covering the entire object's surface.

DTA: Physical Camouflage Attacks using Differentiable Transformation Network

no code implementations • CVPR 2022 • Naufal Suryanto, Yongsu Kim, Hyoeun Kang, Harashta Tatimma Larasati, Youngyeo Yun, Thi-Thu-Huong Le, Hunmin Yang, Se-Yoon Oh, Howon Kim

In this paper, we propose the Differentiable Transformation Attack (DTA), a framework for generating a robust physical adversarial pattern on a target object to camouflage it against object detection models with a wide range of transformations.

Object object-detection +2

A Distributed Black-Box Adversarial Attack Based on Multi-Group Particle Swarm Optimization

1 code implementation • 14 Dec 2020 • Naufal Suryanto, Hyoeun Kang, Yongsu Kim, Youngyeo Yun, Harashta Tatimma Larasati, Howon Kim

This obstacle can be overcome by employing a multi-group approach for PSO algorithm, by which the PSO particles can be redistributed, preventing them from being trapped in local optima.

Adversarial Attack