Mirage achieves 73% misclassification success on LiDAR 3DOD models with 0.5% poisoning rate via label-consistent trigger injection.
IF-Defense: 3D adversarial point cloud defense via implicit function based restora- tion,
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MAPR improves adversarial robustness in 3D point cloud networks by aligning latent predictions with intrinsic manifold geometry via curvature/diffusion features and a consistency loss.
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Mirage: a Clean-Label Backdoor against LiDAR 3D Object Detection
Mirage achieves 73% misclassification success on LiDAR 3DOD models with 0.5% poisoning rate via label-consistent trigger injection.
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Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness
MAPR improves adversarial robustness in 3D point cloud networks by aligning latent predictions with intrinsic manifold geometry via curvature/diffusion features and a consistency loss.