{"id":"W4407938766","doi":"10.1109/icsc63108.2024.10895186","title":"Unsupervised Insider Threat Detection Using Multi-Head Self-Attention Mechanisms","year":2024,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Insider threat; Computer science; Head (geology); Artificial intelligence; Insider; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001398251,0.0001198802,0.00008438452,0.0001717539,0.0002118262,0.0002800208,0.0002227336,0.00009039433,0.00003490697],"category_scores_gemma":[0.00000265072,0.0001065944,0.00009136416,0.0006284313,0.00001091042,0.0005900199,0.0001024286,0.0001180196,0.0001247279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001034051,"about_ca_system_score_gemma":0.00003257302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001441644,"about_ca_topic_score_gemma":0.00003982922,"domain_scores_codex":[0.9990764,0.00002697831,0.0001833645,0.0004027832,0.0001443536,0.0001661668],"domain_scores_gemma":[0.9994959,0.00001872567,0.00002571399,0.0003425744,0.0000602792,0.00005685549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001744302,0.0001310038,0.00005631584,0.00004720041,0.00004500501,0.000009529303,0.0002302615,0.00005963952,0.6101285,0.2404054,0.00004724998,0.1488381],"study_design_scores_gemma":[0.00009176428,0.00004359256,0.0005612641,0.00001821372,0.00001363462,0.00005542407,0.00002389426,0.8612082,0.1239798,0.01239567,0.001450127,0.0001583826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03764369,0.00005860468,0.9582638,0.0002144677,0.0002627771,0.0002397869,7.662048e-7,0.002899645,0.0004165373],"genre_scores_gemma":[0.6676801,0.00001241379,0.3317947,0.00009383599,0.00003109588,0.00004012883,7.596981e-7,0.00001070629,0.0003361663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8611486,"threshold_uncertainty_score":0.4346793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553614931144269,"score_gpt":0.2964319241755548,"score_spread":0.2608957748641121,"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."}}