{"id":"W7094121280","doi":"","title":"Code obfuscation using pseudo-random number generators","year":2014,"lang":"en","type":"article","venue":"Repositorio de Revistas de Investigación USIL (la Universidad San Ignacio de Loyola)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Obfuscation; Code (set theory); Dead code; Adversary; Source code; Unreachable code","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001202368,0.0005034166,0.0005344113,0.0003475808,0.0006463917,0.0006899216,0.001198668,0.000465194,0.00001830356],"category_scores_gemma":[0.0006187881,0.0005890094,0.00031812,0.001111887,0.0002690386,0.001170683,0.0003024191,0.000662267,0.00002537305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002527389,"about_ca_system_score_gemma":0.0009365266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000295105,"about_ca_topic_score_gemma":0.00001577879,"domain_scores_codex":[0.9959874,0.00108895,0.0005983902,0.0009325223,0.0005149802,0.0008777597],"domain_scores_gemma":[0.9966518,0.0004679144,0.0005401265,0.001316311,0.0003573137,0.0006665151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001720909,0.0002726223,0.04970399,0.000448018,0.0003563438,0.0008718135,0.00323882,0.01717988,0.568792,0.3286506,0.006180951,0.02413289],"study_design_scores_gemma":[0.003168678,0.0004363343,0.002951751,0.0009743026,0.0004080528,0.00562926,0.0001627401,0.3363051,0.4140882,0.03946558,0.193423,0.00298697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1824951,0.0001568501,0.8115378,0.0001216834,0.0003067823,0.0003143372,0.000005371148,0.001055826,0.004006245],"genre_scores_gemma":[0.6471626,0.00009532826,0.3515836,0.0003253501,0.0004533851,0.00002043888,0.000005986189,0.00006897488,0.0002842723],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4646676,"threshold_uncertainty_score":0.9996561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163212729266098,"score_gpt":0.2599288479340542,"score_spread":0.2482967206413933,"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."}}