{"id":"W4400553160","doi":"10.1145/3677374","title":"A Comprehensive Analysis of Explainable AI for Malware Hunting","year":2024,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; McGill University","funders":"Canada Research Chairs","keywords":"Computer science; Malware; Malware analysis; Computer security; Artificial intelligence; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002339655,0.000649578,0.003072918,0.001938081,0.0002161474,0.0002522159,0.002943645,0.0003325548,0.000004505847],"category_scores_gemma":[0.0008286556,0.0005994997,0.001668334,0.005802801,0.00006880036,0.0002761353,0.002463456,0.0005912046,0.00001676431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899812,"about_ca_system_score_gemma":0.0002358383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001066909,"about_ca_topic_score_gemma":0.00001782415,"domain_scores_codex":[0.9954532,0.0009058114,0.001353746,0.001297819,0.0003808067,0.0006086648],"domain_scores_gemma":[0.9931279,0.002855159,0.001009328,0.002209522,0.0007063512,0.00009172509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.540462e-7,0.00002119396,0.000007436957,0.01209176,0.00124629,0.00001253017,0.00008785528,0.0001764664,9.369014e-7,0.0008776163,0.0005482184,0.9849291],"study_design_scores_gemma":[0.000103728,0.0001354321,0.0000302267,0.007072969,0.003806761,0.00002793656,0.00002183482,0.0340826,0.00003967384,0.001975978,0.9517705,0.000932341],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.000001407318,0.4648131,0.5334424,0.00001444866,0.0004341133,0.0005479614,0.00005309754,0.0006682751,0.00002512862],"genre_scores_gemma":[0.0002292994,0.7116827,0.2870665,0.00008015399,0.0001781747,0.0001595679,0.0002122888,0.0001282742,0.0002629677],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9839968,"threshold_uncertainty_score":0.9996457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08272942026263995,"score_gpt":0.4010308241329579,"score_spread":0.318301403870318,"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."}}