{"id":"W3047980200","doi":"10.1109/cns48642.2020.9162254","title":"Exploring Adversarial Properties of Insider Threat Detection","year":2020,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Insider threat; Insider; Adversarial system; Computer science; Robustness (evolution); Anomaly detection; Government (linguistics); Isolation (microbiology); Artificial intelligence; Computer security; Machine learning; Data mining; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003900656,0.0007328818,0.0007124454,0.001142207,0.0004843117,0.0009463459,0.001048176,0.001058037,0.0005547659],"category_scores_gemma":[0.02012363,0.0003588311,0.000585986,0.0004987733,0.001795847,0.002403549,0.001524203,0.00183177,0.0001521142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009053939,"about_ca_system_score_gemma":0.0006282332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809592,"about_ca_topic_score_gemma":0.001691447,"domain_scores_codex":[0.9981036,0.0008941009,0.00006501773,0.0003572303,0.0004056927,0.0001743541],"domain_scores_gemma":[0.9737576,0.02133417,0.002057355,0.001737075,0.0007978168,0.00031604],"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":[0.0002180553,0.0001555882,0.01811416,0.00008868449,0.00008636943,0.0003705997,0.0002617847,0.8931479,0.007477426,0.01397344,0.001310604,0.06479543],"study_design_scores_gemma":[0.000001272809,0.00001573472,0.0008683914,0.000003333578,0.000003231893,0.00004999697,0.00001106557,0.9936082,0.000945717,0.004386288,0.0001029027,0.000003898909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4299369,0.0004675805,0.5648038,0.001035829,0.00005549993,0.000061393,0.0001684164,0.0005973169,0.002873291],"genre_scores_gemma":[0.97702,0.0001107834,0.0220786,0.00008908134,0.00003999408,0.00001822241,0.0001655134,0.00003162815,0.0004462126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003900656,"threshold_uncertainty_score":0.02062893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542043214229329,"score_gpt":0.2142944332820047,"score_spread":0.06009011185907184,"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."}}