{"id":"W2982698051","doi":"10.1109/tvlsi.2019.2947202","title":"Incremental Fault Analysis: Relaxing the Fault Model of Differential Fault Attacks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault injection; Cryptosystem; Fault (geology); Advanced Encryption Standard; Computer science; Block cipher; Cryptography; Fault model; Encryption; Embedded system; Algorithm; Computer security; Engineering; Software; Geology; Operating system; Seismology; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0006239319,0.0003276666,0.0004952219,0.0006414623,0.0005137846,0.0003310195,0.0007938857,0.0001738833,0.0001347925],"category_scores_gemma":[0.000005032483,0.0002460757,0.0005790936,0.00154423,0.00007180968,0.0008097488,0.00001247322,0.0004707591,0.00005012119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424277,"about_ca_system_score_gemma":0.00008258255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005671262,"about_ca_topic_score_gemma":0.001707235,"domain_scores_codex":[0.9967767,0.0003128637,0.0009649048,0.0006111982,0.0009151985,0.0004191113],"domain_scores_gemma":[0.9980431,0.000157343,0.0003561099,0.001012175,0.0003243145,0.0001069423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000225069,0.00219938,0.002033511,0.0002116147,0.002733176,0.000004355629,0.02298649,0.8674463,0.06247419,0.02862484,0.001093872,0.0099672],"study_design_scores_gemma":[0.0008226465,0.0001337289,0.0003016514,0.00006976353,0.0002333891,0.000006174428,0.003564565,0.9844722,0.009869062,0.00008877324,0.0001597942,0.0002782356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3568262,0.00002640898,0.6410013,0.0001036823,0.000986546,0.0005287422,0.0002044237,0.00009129353,0.0002314949],"genre_scores_gemma":[0.9981403,0.00003090534,0.001131361,0.00008034335,0.00004630598,0.0001370733,0.00004797577,0.00001902203,0.0003667586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6413141,"threshold_uncertainty_score":0.9999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775955824930268,"score_gpt":0.2658511145248987,"score_spread":0.248091556275596,"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."}}