{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004979753,0.0001924146,0.0002356927,0.0002413442,0.0004542895,0.000129975,0.001311809,0.00004224859,0.00001479159],"category_scores_gemma":[0.0002103201,0.000232839,0.0001262055,0.001064028,0.0000137725,0.0002704984,0.0007402514,0.0005638254,0.000005944925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985401,"about_ca_system_score_gemma":0.00006885459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001057763,"about_ca_topic_score_gemma":2.114638e-7,"domain_scores_codex":[0.9981905,0.00005973387,0.0003024281,0.0005046665,0.0003368849,0.0006057576],"domain_scores_gemma":[0.9988497,0.0005404503,0.00007294863,0.0003698346,0.00004615283,0.0001208634],"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":[0.000008295876,0.00003550123,0.000004094665,0.000009978398,0.00001126319,0.00001620644,0.0002359025,0.6770723,0.000194164,0.2760726,0.0002128749,0.04612689],"study_design_scores_gemma":[0.00008534956,0.0001787198,0.00001472403,0.000005003412,0.000004979945,0.0000299019,0.00001342022,0.9838712,0.0005109985,0.007190106,0.007827132,0.0002684364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001157284,0.0001217564,0.9961431,0.0004506634,0.001252239,0.0002738981,0.000001310461,0.0005391581,0.00006059367],"genre_scores_gemma":[0.7041398,0.000001782261,0.2952479,0.0001822948,0.000240116,0.0001321289,0.000005450458,0.00002595704,0.00002451725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7029825,"threshold_uncertainty_score":0.94949,"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."}}