{"id":"W7112209861","doi":"","title":"ROBUST MACHINE LEARNING USING SUPERQUANTILES","year":2021,"lang":"","type":"dissertation","venue":"Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Adversarial system; Artificial neural network; Computation; Support vector machine; Online machine learning; Deep learning; Robotics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002863938,0.000873413,0.0008901822,0.0007569877,0.0004474696,0.001320539,0.001211098,0.001034564,0.00249702],"category_scores_gemma":[0.009822405,0.0005395742,0.0008448859,0.0006177308,0.001916533,0.002418127,0.002945986,0.003235167,0.0007618415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158404,"about_ca_system_score_gemma":0.0009294509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445346,"about_ca_topic_score_gemma":0.001278439,"domain_scores_codex":[0.998629,0.0005887403,0.00005866013,0.000221023,0.0003932038,0.0001094309],"domain_scores_gemma":[0.9963152,0.00212197,0.0003743229,0.0006934103,0.0004066508,0.00008846607],"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":[0.00009719525,0.00004566702,0.0005539421,0.00009537788,0.00006030451,0.00006051368,0.00009067226,0.8661395,0.004530699,0.06476925,0.00163358,0.06192332],"study_design_scores_gemma":[0.000004259842,0.00004590991,0.00008725948,0.00001303306,0.000003404095,0.00001685375,0.000007904033,0.9745062,0.001363714,0.02332342,0.000621988,0.000006063626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02149065,0.0004668045,0.973807,0.000583854,0.00004780378,0.00004038903,0.00005240024,0.0004859214,0.003025248],"genre_scores_gemma":[0.7262809,0.001146093,0.2638136,0.0004057983,0.0001864985,0.0002230083,0.0004660392,0.0004458487,0.007032235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002863938,"threshold_uncertainty_score":0.01514614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05439984103169884,"score_gpt":0.2823500705063668,"score_spread":0.2279502294746679,"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."}}