{"id":"W4385485199","doi":"10.1109/compsac57700.2023.00084","title":"Milo: Attacking Deep Pre-trained Model for Programming Languages Tasks with Anti-analysis Code Obfuscation","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Obfuscation; Computer science; Programming language; Code (set theory); Natural language processing; Artificial intelligence; Computer security","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":[0.0002785772,0.0001456363,0.0002055331,0.0003975046,0.0001674553,0.0001404356,0.00043092,0.00005643386,0.000003163976],"category_scores_gemma":[0.00005824784,0.0001214799,0.0001085579,0.001883661,0.00002830817,0.0005130101,0.0001034979,0.0000693704,0.000004289732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004566601,"about_ca_system_score_gemma":0.00002913247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002974161,"about_ca_topic_score_gemma":0.0003988844,"domain_scores_codex":[0.9987509,0.00002056797,0.0002086337,0.0004734617,0.0002349131,0.0003115314],"domain_scores_gemma":[0.999045,0.0001014126,0.0001209681,0.0005010267,0.0001749683,0.00005659815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003154841,0.00009639633,0.001710712,0.0001110188,0.0005281544,0.00001264852,0.0038294,0.4082201,0.005397372,0.0130425,0.0003570376,0.5666631],"study_design_scores_gemma":[0.0001415637,0.00006737915,0.0007596475,0.000008767572,0.00007321156,0.000002627369,0.0001220245,0.9855005,0.0118492,0.0008734863,0.0004127031,0.0001888789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005790551,0.00001763359,0.99033,0.0002921947,0.00002048474,0.0005431839,0.000005246495,0.002883781,0.0001169529],"genre_scores_gemma":[0.4888374,0.000004130779,0.5101992,0.00006661514,0.00001340839,0.0002258891,0.00002054573,0.00001226199,0.0006205361],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5772803,"threshold_uncertainty_score":0.4953806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439590192211935,"score_gpt":0.3306339181913617,"score_spread":0.3062380162692424,"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."}}