{"id":"W2997096258","doi":"10.23919/date48585.2020.9116197","title":"DynUnlock: Unlocking Scan Chains Obfuscated using Dynamic Keys","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Intel Corporation","keywords":"Counterfeit; Key (lock); Computer security; Computer science; Outsourcing; Lock (firearm); Intellectual property; Embedded system; Engineering; Operating system; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070114,0.0005610585,0.0004569547,0.0006068595,0.0007298503,0.001185074,0.0006831368,0.001178837,0.00371428],"category_scores_gemma":[0.004043182,0.0003967408,0.0004989226,0.0006533966,0.002347789,0.004283365,0.003065632,0.001862095,0.0007719753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000629674,"about_ca_system_score_gemma":0.0007539662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000375387,"about_ca_topic_score_gemma":0.0004318344,"domain_scores_codex":[0.9987432,0.0003052678,0.00008256215,0.0002398546,0.0003553005,0.0002738554],"domain_scores_gemma":[0.9964675,0.001569315,0.0003580158,0.001366929,0.0001609981,0.00007723504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001304413,0.0001263817,0.003263661,0.000324077,0.0001274987,0.0009707621,0.001003034,0.05433432,0.1141883,0.5658365,0.007670248,0.2508507],"study_design_scores_gemma":[0.0001871992,0.0005348664,0.0008233152,0.0001424253,0.0001269605,0.001618013,0.0003504419,0.3826386,0.2507941,0.3168274,0.04584509,0.0001116383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409689,0.0009787224,0.8402705,0.001048145,0.0002402666,0.00009009008,0.0001710011,0.003516949,0.01271546],"genre_scores_gemma":[0.9425964,0.0004341197,0.05000518,0.0003040371,0.00006032903,0.00007460945,0.0001356078,0.0002199626,0.006169817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00371428,"threshold_uncertainty_score":0.01242554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04359997133082041,"score_gpt":0.2829240645034977,"score_spread":0.2393240931726773,"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."}}