{"id":"W3125423558","doi":"10.1109/icip42928.2021.9506016","title":"Towards Universal Physical Attacks On Cascaded Camera-Lidar 3d Object Detection Models","year":2021,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Point cloud; Adversarial system; Artificial intelligence; Rendering (computer graphics); Robustness (evolution); Computer vision; RGB color model; Modal; Deep learning; Object detection; Segmentation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000152326,0.0002059154,0.0002301857,0.00009895075,0.0002258281,0.000142838,0.0005332715,0.00009811501,0.00004343381],"category_scores_gemma":[0.00007903331,0.0001961595,0.0001263775,0.0005824295,0.00004272354,0.0007163436,0.0004051037,0.0004909416,0.00008177917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938912,"about_ca_system_score_gemma":0.0001994686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002744299,"about_ca_topic_score_gemma":0.00005398723,"domain_scores_codex":[0.9982014,0.0002140195,0.0001511197,0.0006216681,0.0004698909,0.0003419345],"domain_scores_gemma":[0.9989758,0.0001272022,0.00006835874,0.0005883903,0.0001285068,0.0001118169],"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":[0.00003342297,0.0001550033,0.00002302368,0.00001203431,0.00005883184,0.0003001555,0.002376516,0.7214611,0.004906584,0.0837121,0.0001246954,0.1868366],"study_design_scores_gemma":[0.0004537191,0.000109864,0.0001745821,0.00001278037,0.00001253323,0.00003795332,0.0001503069,0.9768985,0.01903166,0.002027257,0.0008300405,0.0002607779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07189652,0.000008188283,0.9014911,0.00056683,0.0005245134,0.0000792124,9.187525e-7,0.0003665984,0.02506609],"genre_scores_gemma":[0.9600343,0.000003331295,0.03787298,0.0003486652,0.0002552264,0.000004043141,0.000002441514,0.00001817982,0.001460866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8881378,"threshold_uncertainty_score":0.7999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943472526508572,"score_gpt":0.2706573068201649,"score_spread":0.2512225815550792,"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."}}