{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001412952,0.0008639774,0.0005875511,0.003751915,0.0005010749,0.001801759,0.00100655,0.001085176,0.002336585],"category_scores_gemma":[0.004897898,0.0004738541,0.0007797141,0.002756423,0.0009225994,0.003123991,0.0008320605,0.001699641,0.001140129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602547,"about_ca_system_score_gemma":0.001772977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074901,"about_ca_topic_score_gemma":0.00193403,"domain_scores_codex":[0.9991823,0.0001826345,0.00004767629,0.000130501,0.0004078916,0.00004910261],"domain_scores_gemma":[0.9963233,0.002464164,0.0001926849,0.0001950144,0.000769271,0.00005553545],"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":[0.00002769011,0.00007830636,0.00138496,0.005400493,0.0001124069,0.0001648869,0.000307997,0.005840573,0.001420557,0.1300556,0.01469794,0.8405086],"study_design_scores_gemma":[0.00001179685,0.0001851653,0.004512115,0.006368609,0.0002339737,0.001602158,0.0004095952,0.02837824,0.004102238,0.1612381,0.7928698,0.00008821226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003759233,0.9194463,0.05099643,0.003761677,0.0004154824,0.00006918747,0.00008310362,0.000179726,0.02128885],"genre_scores_gemma":[0.05104153,0.915,0.02557436,0.001092117,0.0007669298,0.00009498998,0.0003002152,0.00005825257,0.006071705],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003751915,"threshold_uncertainty_score":0.01162732,"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."}}