{"id":"W4300768745","doi":"10.1007/978-3-030-94178-9_3","title":"The Physical Unclonable Functions Fight: State-of-the-Art Architectures and Their Performance Against Advanced Deep Learning Modeling Attacks","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Physical unclonable function; Deep learning; Computer science; Computer architecture; Artificial intelligence; Computer security; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006841094,0.0009479126,0.0006033789,0.000372284,0.0003953788,0.001559455,0.001152063,0.001302126,0.006719182],"category_scores_gemma":[0.001955416,0.0003455875,0.0003839896,0.0004000375,0.0009665425,0.003882569,0.001179659,0.002405061,0.001701894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009150809,"about_ca_system_score_gemma":0.0004897304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00079528,"about_ca_topic_score_gemma":0.001335319,"domain_scores_codex":[0.9996644,0.00005321799,0.00001305847,0.00006056278,0.0001331153,0.00007562647],"domain_scores_gemma":[0.9993612,0.0003114397,0.00005844367,0.0001223378,0.0001166525,0.0000299158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008692949,0.0001286835,0.001192384,0.0004374382,0.0001655919,0.0001514444,0.0002020942,0.1709664,0.03820549,0.1415064,0.02700835,0.6191663],"study_design_scores_gemma":[0.00002271649,0.0002854251,0.0005087521,0.0001565823,0.00009391028,0.0002363605,0.00006647497,0.828294,0.0520932,0.09553128,0.02266235,0.00004888467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1705317,0.03190854,0.7206044,0.003789547,0.0008896242,0.00004853042,0.0004647836,0.004684813,0.06707811],"genre_scores_gemma":[0.8843217,0.008785589,0.07662687,0.0005234949,0.0002065754,0.00003600974,0.0003361678,0.0004177222,0.02874587],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006719182,"threshold_uncertainty_score":0.02247787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009923414724815654,"score_gpt":0.2013025002478356,"score_spread":0.19137908552302,"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."}}