R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting
R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting explores A novel framework for generating robust physical adversarial camouflage for autonomous driving systems by leveraging relightable 3D Gaussian splatting and hard physical configuration mining.. Commercial viability score: 3/10 in Adversarial Attacks for Autonomous Driving.
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