{"id":"W3168614584","doi":"10.1145/3447548.3467432","title":"Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection","year":2021,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Institute for Advanced Research","funders":"","keywords":"Computer science; Artificial intelligence; Point cloud; Computer vision; Object detection; Lidar; Adversarial system; Deep learning; Focus (optics); Segmentation; Object (grammar); Image segmentation; Remote sensing; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296185,0.001125454,0.0009284384,0.0004470999,0.0003430821,0.000572171,0.001300957,0.001357328,0.001621714],"category_scores_gemma":[0.004061493,0.0004568423,0.001152586,0.0003524589,0.001916794,0.001538242,0.002625672,0.002571787,0.0002921559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096804,"about_ca_system_score_gemma":0.0006071572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164891,"about_ca_topic_score_gemma":0.001407062,"domain_scores_codex":[0.9988143,0.0003714245,0.00004132563,0.000263336,0.0003515011,0.0001580704],"domain_scores_gemma":[0.9978719,0.001373159,0.0002227775,0.0002683309,0.0001717362,0.00009203009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001851005,0.0000361635,0.0009133673,0.00004840074,0.00006420812,0.0002140857,0.00007410806,0.93801,0.006858488,0.02525187,0.001252231,0.02709202],"study_design_scores_gemma":[0.00000270122,0.00001599013,0.00007000098,0.000002871033,0.000003939146,0.00002603491,0.000002854276,0.9957358,0.00101582,0.002984277,0.000135607,0.000004148158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03056509,0.0002102816,0.9662429,0.0003718526,0.00004736755,0.00004272695,0.00005461089,0.0004376876,0.002027407],"genre_scores_gemma":[0.9322201,0.0002268119,0.06364407,0.0003072952,0.00003715637,0.0001024907,0.0001463416,0.00007514882,0.003240509],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00164891,"threshold_uncertainty_score":0.007957876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781512169500735,"score_gpt":0.2947118951256256,"score_spread":0.2668967734306183,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}