{"id":"W6917426806","doi":"10.57760/sciencedb.nbsdc.00098","title":"Dataset of Membership Inference Attack Defense Strategies","year":2023,"lang":"en","type":"dataset","venue":"ScienceDB","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inference; Scheme (mathematics); Test (biology); RGB color model; Test data; Training set","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":[0.001285457,0.001733737,0.0008392476,0.00176038,0.00110081,0.001096634,0.002779095,0.001799285,0.005719745],"category_scores_gemma":[0.003966473,0.0002956348,0.001055355,0.002145305,0.0005273917,0.001242171,0.001094197,0.001824853,0.004439224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633871,"about_ca_system_score_gemma":0.001470178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076637,"about_ca_topic_score_gemma":0.01944912,"domain_scores_codex":[0.997847,0.0002835274,0.0002132322,0.0005266584,0.0008405898,0.0002889561],"domain_scores_gemma":[0.9959245,0.000729609,0.0002666421,0.001358916,0.001422831,0.000297597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001228554,0.001695876,0.01992601,0.001557571,0.0002075672,0.0005644117,0.0001719513,0.02133885,0.007953183,0.00449596,0.849064,0.09179594],"study_design_scores_gemma":[0.001185228,0.001658967,0.08909852,0.0004516917,0.0002084518,0.002116475,0.001391658,0.1720713,0.03804209,0.01136942,0.6821025,0.0003036363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1381142,0.001501443,0.01169926,0.001442675,0.0006111548,0.001454443,0.8155527,0.00813893,0.02148516],"genre_scores_gemma":[0.09186114,0.000346666,0.01387619,0.0002798786,0.00005212129,0.0008172222,0.888433,0.0001381813,0.004195551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01076637,"threshold_uncertainty_score":0.02140737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530107433549701,"score_gpt":0.4099238864457265,"score_spread":0.2569131430907564,"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."}}