{"id":"W4392767434","doi":"10.1186/s42400-023-00187-4","title":"Practical solutions in fully homomorphic encryption: a survey analyzing existing acceleration methods","year":2024,"lang":"en","type":"article","venue":"Cybersecurity","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Homomorphic encryption; Computer science; Acceleration; Encryption; Data mining; Computer security; Physics","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":[0.004881638,0.0001866745,0.0002247298,0.0003974606,0.0002906474,0.0007863097,0.0004496003,0.0001424707,0.00005850282],"category_scores_gemma":[0.0008851942,0.0001951989,0.0001225395,0.002388687,0.00009913823,0.00205079,0.0003603808,0.0006452794,0.00006914241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057527,"about_ca_system_score_gemma":0.0002484043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007451671,"about_ca_topic_score_gemma":0.002099085,"domain_scores_codex":[0.9971302,0.00103739,0.0004199511,0.0006964405,0.0002654118,0.0004506376],"domain_scores_gemma":[0.9979814,0.001112665,0.00006955271,0.0005843058,0.0001158468,0.0001362751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001048832,0.0001846735,0.003135452,0.00005719836,0.0000334344,0.000136471,0.002472946,0.00002232639,0.0004987175,0.9699631,0.002638211,0.02084704],"study_design_scores_gemma":[0.0007110077,0.0001672101,0.1561855,0.0003264233,0.00006751116,0.0002984953,0.0003735333,0.624812,0.0006823739,0.190232,0.02484458,0.001299374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01826524,0.001004166,0.9770699,0.001124095,0.0007992739,0.0001842757,0.00003213566,0.0005312309,0.0009897484],"genre_scores_gemma":[0.7360011,0.00007820042,0.2636428,0.00006970823,0.0001177697,0.00002646894,0.00004883398,0.00001165783,0.000003417755],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.779731,"threshold_uncertainty_score":0.7959979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806119389533775,"score_gpt":0.4232438815701642,"score_spread":0.2426319426167867,"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."}}