{"id":"W7056868557","doi":"","title":"A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Grand Équipement National De Calcul Intensif","keywords":"Adversarial system; Identification (biology); Key (lock); Noise (video); Context (archaeology)","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":[0.001332736,0.001516416,0.00175532,0.00121515,0.0006160517,0.001177181,0.002627793,0.002532298,0.007597872],"category_scores_gemma":[0.004257327,0.0006014744,0.0009349684,0.0007301999,0.00109244,0.002172917,0.004443971,0.002706761,0.002026358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00097363,"about_ca_system_score_gemma":0.001492039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002751234,"about_ca_topic_score_gemma":0.003168931,"domain_scores_codex":[0.99885,0.0002630143,0.00004483171,0.000203587,0.0004759387,0.0001625428],"domain_scores_gemma":[0.9980502,0.0009785882,0.0001322669,0.0002743924,0.0003997377,0.000164751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006510309,0.0001768798,0.0008682614,0.0002157678,0.0001115537,0.0001563369,0.000126259,0.331261,0.02438912,0.02483297,0.01251434,0.6046965],"study_design_scores_gemma":[0.00001011002,0.00004057476,0.00007945539,0.000008631881,0.00000596298,0.00004599315,0.000007751306,0.9920301,0.001784582,0.005308127,0.000671258,0.000007356306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005683271,0.0003117335,0.9908739,0.0002723364,0.0000828402,0.00006910293,0.00009069194,0.0009284624,0.001687635],"genre_scores_gemma":[0.3625312,0.0006682939,0.6214793,0.000934784,0.0003573119,0.0003342229,0.0007374756,0.0003457606,0.01261168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007597872,"threshold_uncertainty_score":0.02541739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146061501000534,"score_gpt":0.2896885799293336,"score_spread":0.2682279649193283,"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."}}