{"id":"W4250656566","doi":"10.1109/emsoft.2015.7318271","title":"Exp-HE: a family of fast exponentiation algorithms resistant to SPA, fault, and combined attacks","year":2015,"lang":"en","type":"article","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalar multiplication; Side channel attack; Modular exponentiation; Power analysis; Cryptography; Algorithm; Exponentiation; Elliptic curve cryptography; Modular arithmetic; Timing attack; Cryptosystem; Vulnerability (computing); Computer engineering; Public-key cryptography; Embedded system; Theoretical computer science; Elliptic curve; Computer security; Encryption; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002997532,0.00009226282,0.0001337268,0.0001613097,0.00006305132,0.00009280926,0.0002395085,0.00002732968,0.00001118589],"category_scores_gemma":[0.00001914572,0.00007987351,0.00003157268,0.0004559139,0.00002736179,0.0002732314,0.000176157,0.00003875432,0.000005582319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001695378,"about_ca_system_score_gemma":0.00003838862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000400756,"about_ca_topic_score_gemma":0.0001472361,"domain_scores_codex":[0.9990036,0.00004079533,0.0002613287,0.000239161,0.0002942628,0.0001608145],"domain_scores_gemma":[0.99927,0.00003231977,0.00006864738,0.0003003852,0.0001781185,0.0001505281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003312535,0.00113894,0.01923702,0.0001153321,0.0002346176,0.00003530043,0.06333561,0.000116791,0.05476556,0.5710549,0.09037407,0.1992606],"study_design_scores_gemma":[0.01699711,0.006248694,0.5779653,0.0001677775,0.0001156273,0.00004044938,0.03610292,0.2238421,0.02666653,0.04782988,0.06152074,0.00250281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4746355,0.00004557846,0.5232438,0.0007424687,0.000128433,0.0001911562,0.000009095569,0.00004816301,0.0009557703],"genre_scores_gemma":[0.9216268,0.000009137366,0.07800502,0.000216095,0.00001449875,0.00001523478,0.000008961239,0.00000400596,0.0001002189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5587283,"threshold_uncertainty_score":0.3257147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177927509778567,"score_gpt":0.2968380893964884,"score_spread":0.2550588142987027,"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."}}