{"id":"W2940466158","doi":"10.1109/tvlsi.2019.2908964","title":"Hardware Trojan Detection Using Reconfigurable Assertion Checkers","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Hardware Trojan; Trojan; Assertion; Embedded system; Computer science; Microcontroller; System on a chip; Computer hardware; Computer security; Programming language","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":[0.001571783,0.0008181339,0.0004598362,0.001631007,0.0003421364,0.0009893898,0.001625081,0.0005153322,0.002039903],"category_scores_gemma":[0.005475918,0.0003919364,0.0007782376,0.0004523872,0.0007700044,0.001452127,0.0006473075,0.0007229428,0.0004830574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003979801,"about_ca_system_score_gemma":0.001119805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338604,"about_ca_topic_score_gemma":0.002261138,"domain_scores_codex":[0.9978876,0.0004747773,0.0002362582,0.0004225887,0.0007250089,0.0002538158],"domain_scores_gemma":[0.9933959,0.00262342,0.001354295,0.001467426,0.001038265,0.000120707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001670427,0.0004271732,0.01492494,0.001356385,0.0004330685,0.002524228,0.0005214491,0.1276147,0.3046216,0.04250511,0.004969426,0.4984316],"study_design_scores_gemma":[0.0001824266,0.001144734,0.00239126,0.0001765288,0.0003651362,0.001349742,0.00008608655,0.6799968,0.2931246,0.00745328,0.01360461,0.0001247639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1226503,0.0008280797,0.8594506,0.0001474276,0.0002230659,0.000291925,0.0001673782,0.01253065,0.003710476],"genre_scores_gemma":[0.812547,0.0002813431,0.1847909,0.0001662965,0.00005740725,0.0001020776,0.000221217,0.0002356118,0.001598071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002039903,"threshold_uncertainty_score":0.008312523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015715703198478,"score_gpt":0.233038329215956,"score_spread":0.217322626017478,"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."}}