R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting

ArXi:2603.26067v1 Announce Type: cross Physical adversarial camouflage poses a severe security threat to autonomous driving systems by mapping adversarial textures onto 3D objects. Nevertheless, current methods remain brittle in complex dynamic scenarios, failing to generalize across diverse geometric (e.g., viewing configurations) and radiometric (e.g., dynamic illumination, atmospheric scattering) variations. We attribute this deficiency to two fundamental limitations in simulation and optimization.