{"id":"W4295190147","doi":"10.1016/j.compeleceng.2022.108356","title":"Explainable Artificial Intelligence for Cybersecurity","year":2022,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer security; Computer science; Artificial intelligence; Engineering","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":[0.00116133,0.0004806909,0.000538666,0.0006150045,0.0004228623,0.001378493,0.0007709813,0.001579218,0.004715495],"category_scores_gemma":[0.004761527,0.0002793294,0.0006047967,0.0003435749,0.00282915,0.003278888,0.00155816,0.002611659,0.000387492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009831486,"about_ca_system_score_gemma":0.0004929918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008333474,"about_ca_topic_score_gemma":0.0006844336,"domain_scores_codex":[0.9995406,0.0002071432,0.00002097669,0.00008014974,0.0001190305,0.00003221954],"domain_scores_gemma":[0.9972838,0.001708728,0.0002037643,0.000582607,0.0001641012,0.00005699903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001108612,0.00001242722,0.0003351162,0.00009166757,0.00003595675,0.00005325447,0.00007519514,0.04925926,0.0005270597,0.9382031,0.001919915,0.009475975],"study_design_scores_gemma":[0.000003081934,0.000006988938,0.0001235181,0.00001617105,0.000006084726,0.00002257525,0.0000132425,0.07276192,0.000200073,0.9234436,0.003397719,0.000005140749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04088378,0.006682118,0.8965945,0.02012464,0.0006917163,0.00005344336,0.0003923815,0.0005142812,0.03406311],"genre_scores_gemma":[0.9273198,0.003347687,0.05895339,0.0009757412,0.0007310058,0.00008107586,0.0002677521,0.0001162158,0.008207358],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004715495,"threshold_uncertainty_score":0.01577491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497874834486855,"score_gpt":0.2381330839261718,"score_spread":0.2231543355813033,"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."}}