{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002371825,0.0006441181,0.0007486141,0.000306873,0.0004333405,0.0006853936,0.002490208,0.0003833808,0.0001532146],"category_scores_gemma":[0.00008258651,0.0006385128,0.0004384465,0.001113368,0.0001006271,0.0004151732,0.005121354,0.001415817,0.0001778563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005687966,"about_ca_system_score_gemma":0.000843884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041515,"about_ca_topic_score_gemma":0.0001982193,"domain_scores_codex":[0.9960954,0.0001694785,0.0005798407,0.001707056,0.0006809547,0.000767304],"domain_scores_gemma":[0.9971986,0.00009470378,0.000310641,0.00169028,0.000284903,0.0004208212],"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":[0.0000942008,0.001861561,0.00106286,0.001802779,0.001570016,0.0005721895,0.006214962,0.08992732,0.01639288,0.7579063,0.006797701,0.1157973],"study_design_scores_gemma":[0.0002453588,0.00005125191,0.0006342446,0.0001568039,0.00005108173,0.00001268045,0.00003293942,0.9582022,0.0004070752,0.03613775,0.003279452,0.00078917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01844946,0.0001563136,0.9634646,0.002782408,0.00240909,0.0005433002,0.00004601546,0.001600819,0.01054801],"genre_scores_gemma":[0.9671605,0.00004431515,0.03036815,0.000867268,0.0004218181,0.00003176129,0.0001123467,0.0000555925,0.0009382961],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.948711,"threshold_uncertainty_score":0.9996066,"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."}}