{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005935227,0.0004322306,0.000499745,0.0004932424,0.0007142685,0.0005618662,0.0005258736,0.0003210262,0.0001713105],"category_scores_gemma":[0.00001377601,0.0004151263,0.0003894532,0.001156613,0.00004029399,0.00244656,0.000004485076,0.0007066506,0.0008476289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006699178,"about_ca_system_score_gemma":0.0001718665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005696004,"about_ca_topic_score_gemma":0.0005484483,"domain_scores_codex":[0.9966939,0.0003466307,0.0007047106,0.0009367908,0.0007016945,0.0006162734],"domain_scores_gemma":[0.9979408,0.0001158599,0.0002720043,0.0009929119,0.0004525412,0.0002258302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008301448,0.004109018,0.000350244,0.0007103696,0.0007754157,0.0000311093,0.006046023,0.2417158,0.6552395,0.01165072,0.00167657,0.07686512],"study_design_scores_gemma":[0.001135255,0.0004329386,0.0001922959,0.0003061853,0.00006443225,0.00006281005,0.001108485,0.8158348,0.1721602,0.0002528884,0.007785869,0.0006638348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1557495,0.00004067108,0.833646,0.00009903372,0.006994305,0.0007777996,0.00006811882,0.0005219651,0.002102576],"genre_scores_gemma":[0.9958679,0.00001824166,0.0007467013,0.0001182351,0.0002226088,0.0001418418,0.00002421476,0.00004188638,0.002818373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8401183,"threshold_uncertainty_score":0.9999303,"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."}}