{"id":"W3211046319","doi":"10.1109/ccece53047.2021.9569160","title":"Efficient Multiplier and FPGA Implementation for NTRU Prime","year":2021,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"NTRU; NIST; Computer science; Cryptography; Elliptic curve cryptography; Lattice-based cryptography; Post-quantum cryptography; Field-programmable gate array; Adder; Public-key cryptography; Multiplier (economics); Computer engineering; Theoretical computer science; Arithmetic; Quantum cryptography; Parallel computing; Algorithm; Computer hardware; Mathematics; Encryption; Computer security; Quantum; Cryptosystem; Quantum information; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00009150792,0.0000485211,0.00005370841,0.00003900761,0.00009543922,0.00008381417,0.00008826159,0.00001753723,0.0000231275],"category_scores_gemma":[0.000008534009,0.00003998489,0.00003590458,0.0001618317,0.00001585551,0.00003940085,0.0000864241,0.00002106415,0.000004148975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000502322,"about_ca_system_score_gemma":0.00002744184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001023584,"about_ca_topic_score_gemma":0.0000232363,"domain_scores_codex":[0.9994877,0.00001401676,0.0000883033,0.0002040803,0.00007854737,0.0001273734],"domain_scores_gemma":[0.9996623,0.00006901268,0.00001860056,0.000156052,0.00005304945,0.00004099097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006877508,0.0001637328,0.002086016,0.00003943417,0.00004989133,0.00001103085,0.001717383,0.0003242812,0.01417029,0.2215783,0.0008242984,0.7590285],"study_design_scores_gemma":[0.004295752,0.0002269124,0.1039143,0.00002106934,0.00003436743,0.00007051031,0.001151345,0.2699157,0.5853224,0.01459885,0.01986074,0.0005880543],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09205724,0.0001746286,0.9060728,0.0009230981,0.0001288054,0.0001632336,0.000002048816,0.00004760473,0.0004305232],"genre_scores_gemma":[0.8316546,0.000007117393,0.1679143,0.0002339088,0.00001996133,0.00001811986,0.000003124082,0.000002737299,0.0001461497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7584404,"threshold_uncertainty_score":0.1630536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045671583731503,"score_gpt":0.2742696006812132,"score_spread":0.2638128848438982,"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."}}