{"id":"W2957992865","doi":"10.1145/3319619.3326818","title":"Darwinian malware detectors","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Malware; Computer science; Android (operating system); Popularity; Darwinism; Computer security; Evasion (ethics); Consistency (knowledge bases); Software; Mobile device; Android malware; Machine learning; Artificial intelligence; Data science; World Wide Web; Operating system","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":[0.001939304,0.0007047763,0.0008585704,0.001722735,0.0007732199,0.00149743,0.001751905,0.001521741,0.002737427],"category_scores_gemma":[0.009315358,0.0004902049,0.0006694681,0.0006656633,0.001003506,0.001585084,0.001075024,0.001390335,0.001059445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199948,"about_ca_system_score_gemma":0.001133767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002828425,"about_ca_topic_score_gemma":0.003204257,"domain_scores_codex":[0.9990721,0.0001579746,0.00004584789,0.0003196381,0.0003159063,0.00008864007],"domain_scores_gemma":[0.9958137,0.002041442,0.0003064918,0.0005200437,0.00118319,0.0001351778],"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":[0.0002076192,0.0002957693,0.04444459,0.0002901867,0.0002860111,0.0003854573,0.0003866443,0.3245451,0.0168603,0.05340641,0.01764714,0.5412447],"study_design_scores_gemma":[0.00001854576,0.00007669328,0.003081132,0.00002490135,0.00002944484,0.0002586284,0.00004323577,0.9712015,0.005822655,0.01503066,0.004389657,0.000023071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2749599,0.0013737,0.6873822,0.002104263,0.000445995,0.0004346866,0.0008272659,0.005286117,0.02718588],"genre_scores_gemma":[0.7965862,0.0003548561,0.1884224,0.0006591004,0.0001061563,0.0001985604,0.0008015833,0.0002324974,0.01263865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002828425,"threshold_uncertainty_score":0.01025611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110502762088504,"score_gpt":0.2228584387273029,"score_spread":0.2117534111064178,"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."}}