{"id":"W3048511744","doi":"10.1145/3383313.3412243","title":"Revisiting Adversarially Learned Injection Attacks Against Recommender Systems","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transferability; Recommender system; Relevance (law); Computer security; Attack model; Machine learning","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":[0.006790334,0.001563963,0.001787667,0.0008485512,0.000897734,0.002133249,0.002136629,0.00328463,0.002270514],"category_scores_gemma":[0.03517073,0.0008584788,0.001367148,0.0005779832,0.003062086,0.005008604,0.003732793,0.004433305,0.0008005366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322594,"about_ca_system_score_gemma":0.001153344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586575,"about_ca_topic_score_gemma":0.001189467,"domain_scores_codex":[0.9924853,0.003916483,0.0003559396,0.001041064,0.00152733,0.0006739585],"domain_scores_gemma":[0.9611725,0.02836286,0.00255094,0.005882574,0.001422411,0.0006087741],"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":[0.0004013785,0.0002144959,0.003970547,0.0002974606,0.0002827987,0.0004270848,0.0003554379,0.8394274,0.007632041,0.08804135,0.003988068,0.05496194],"study_design_scores_gemma":[0.00001518524,0.00008158234,0.0002522868,0.00002520462,0.0000181638,0.0001134962,0.00002041945,0.9778546,0.001385481,0.01939464,0.0008202492,0.0000185745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0712906,0.001209819,0.918158,0.001574537,0.0001651532,0.0002027692,0.0001593966,0.0009278939,0.006311857],"genre_scores_gemma":[0.941842,0.0005104009,0.0538484,0.0004382602,0.0001513091,0.0001079722,0.0001431212,0.00009904174,0.002859481],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006790334,"threshold_uncertainty_score":0.0359112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05730140208896777,"score_gpt":0.3096711468692656,"score_spread":0.2523697447802978,"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."}}