{"id":"W4402474484","doi":"10.1109/ccece59415.2024.10667325","title":"Mixed Boolean-Arithmetic (MBA) Obfuscation Using Permutation Polynomials on Modular Lipschitz Integers","year":2024,"lang":"en","type":"article","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Permutation (music); Arithmetic; Modular design; Mathematics; Lipschitz continuity; Discrete mathematics; Modular arithmetic; Computer science; Cryptography; Algorithm; Pure mathematics","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":[0.0003768014,0.0001420248,0.0001176587,0.0004384455,0.0001815871,0.0005728693,0.0002837745,0.00005133498,0.00007054192],"category_scores_gemma":[0.00002928686,0.0001292973,0.0001061422,0.0007594459,0.00003267607,0.0005747029,0.00006859939,0.0001273633,0.00005538858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009543314,"about_ca_system_score_gemma":0.0000934706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002032701,"about_ca_topic_score_gemma":0.00005255871,"domain_scores_codex":[0.9986988,0.0000857741,0.0002863974,0.0004175738,0.0002882546,0.0002231425],"domain_scores_gemma":[0.9993743,0.0001089477,0.00004539708,0.0003389414,0.00006264331,0.00006977595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006379773,0.00009776591,0.0001341349,0.00004749793,0.00005934035,0.00001461158,0.002632641,0.001556601,0.01295476,0.8181984,0.00126321,0.1630347],"study_design_scores_gemma":[0.0002079634,0.000104992,0.001753551,0.00005406815,0.00002215452,0.00001849191,0.0004145804,0.9778928,0.005993497,0.01089721,0.002395412,0.0002452735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3535897,0.0001222088,0.6435036,0.0009729821,0.0007083453,0.0001790335,0.000004436981,0.0002431433,0.0006765958],"genre_scores_gemma":[0.9622586,0.00001647886,0.03724321,0.0002816612,0.00008337958,0.00001423307,0.00001915592,0.00001187525,0.00007138382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9763362,"threshold_uncertainty_score":0.5524192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05537453245670711,"score_gpt":0.3104051563446636,"score_spread":0.2550306238879566,"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."}}