Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification
Chengcheng Ma, Weiliang Meng, Baoyuan Wu, Shibiao Xu, Xiaopeng Zhang
Abstract
Deep learning based classifiers on 3D point cloud data have been shown vulnerable to adversarial examples, while a defense strategy named Statistical Outlier Removal (SOR) is widely adopted to defend adversarial examples successfully, by discarding outlier points in the point cloud.
Topics & Concepts
Point cloudAdversarial systemOutlierComputer sciencePoint (geometry)Joint (building)Cloud computingAnomaly detectionArtificial intelligenceComputer securityData miningMathematicsEngineeringArchitectural engineeringGeometryOperating systemAdversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications