{"id":"W4283458102","doi":"10.3390/asi5040061","title":"The Dichotomy of Neural Networks and Cryptography: War and Peace","year":2022,"lang":"en","type":"article","venue":"Applied System Innovation","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cryptosystem; Cryptography; Artificial neural network; Encryption; Computer science; Neural cryptography; Cryptanalysis; Computer security; Confidentiality; Theoretical computer science; Artificial intelligence; Public-key cryptography","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":[0.0005116019,0.00007363254,0.00009566492,0.0001356652,0.0004035457,0.00003476996,0.0002147903,0.00002258752,4.004096e-7],"category_scores_gemma":[0.000006431517,0.00006168908,0.000009932504,0.001232884,0.00004865808,0.0001131674,0.0002520696,0.0001325512,8.277532e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627242,"about_ca_system_score_gemma":0.000006899019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007496436,"about_ca_topic_score_gemma":7.924452e-7,"domain_scores_codex":[0.9992159,0.00004308478,0.0002622411,0.0001960391,0.0001758331,0.000106916],"domain_scores_gemma":[0.9993448,0.00007946411,0.0002279178,0.000258698,0.00007681541,0.000012292],"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":[0.00001462102,0.000006392394,0.000285849,0.00003179242,0.000009187971,8.970455e-7,0.0001774498,0.0006930463,0.003510429,0.9261892,0.0002163402,0.06886479],"study_design_scores_gemma":[0.001915555,0.0007270738,0.01167007,0.00006143875,0.00002934928,0.0003980082,0.004634366,0.8732802,0.02648833,0.04244928,0.03727812,0.001068205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05890644,0.0002970323,0.9395546,0.00009870636,0.0001375669,0.0003752769,9.35945e-7,0.0002442738,0.0003851829],"genre_scores_gemma":[0.994388,0.0000150171,0.005273934,0.00006812417,0.00001975114,0.000222293,0.000001856385,0.000006290652,0.000004673601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9354816,"threshold_uncertainty_score":0.3103788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006251737518611416,"score_gpt":0.209526711123029,"score_spread":0.2032749736044175,"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."}}