{"id":"W4291414590","doi":"10.3390/a15080283","title":"Adversarial Training Methods for Deep Learning: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Algorithms","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adversarial system; Computer science; Artificial intelligence; Overfitting; Machine learning; Deep learning; Artificial neural network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004137965,0.001312587,0.002361694,0.005157107,0.0004623214,0.00186318,0.001480127,0.001830308,0.005060298],"category_scores_gemma":[0.02308159,0.000692096,0.002996493,0.004394101,0.000741584,0.002166383,0.001211134,0.001516719,0.0008513514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491327,"about_ca_system_score_gemma":0.006027637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00283968,"about_ca_topic_score_gemma":0.00557952,"domain_scores_codex":[0.9979353,0.0006758716,0.0005682894,0.0002145161,0.0005398167,0.00006623627],"domain_scores_gemma":[0.981699,0.01553936,0.001181563,0.0002985725,0.001159515,0.0001220592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001041157,0.00006167007,0.0003754718,0.3867603,0.001200244,0.0001046607,0.0001404782,0.001692202,0.0003732808,0.005509824,0.01189727,0.5917804],"study_design_scores_gemma":[0.0001088488,0.000391441,0.001930479,0.5244196,0.006990714,0.0009807136,0.0002432862,0.001239374,0.0009225964,0.01019106,0.4524825,0.00009942437],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001289168,0.9982842,0.0007150015,0.0002636868,0.00008476302,0.00003972115,0.00004897845,0.000009860491,0.0004248225],"genre_scores_gemma":[0.001706809,0.9966897,0.001043849,0.0002405191,0.0000584458,0.00008046129,0.00004804994,0.000005344781,0.0001268859],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005157107,"threshold_uncertainty_score":0.0218839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057814441439906,"score_gpt":0.4302379252657356,"score_spread":0.324456481121745,"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."}}