{"id":"W3006329246","doi":"10.4018/ijsst.2019070102","title":"Fully Homomorphic Encryption Without Noise","year":2019,"lang":"en","type":"article","venue":"International Journal of Smart Security Technologies","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cisco Systems (Canada)","funders":"","keywords":"Homomorphic encryption; Computer science; Ciphertext; Encryption; Scheme (mathematics); Probabilistic encryption; Reduction (mathematics); Theoretical computer science; Deterministic encryption; Cryptosystem; Noise (video); Algorithm; Arithmetic; Mathematics; Computer security; Image (mathematics); Artificial intelligence","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":[0.0004931623,0.0001596995,0.0002467752,0.0006510888,0.00005149505,0.0002405826,0.002910341,0.000156722,0.00003879441],"category_scores_gemma":[0.0001882116,0.0001377488,0.0001940733,0.0003644389,0.0001276082,0.001558004,0.0006251889,0.0005054795,0.000104949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007168765,"about_ca_system_score_gemma":0.0000838441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001364086,"about_ca_topic_score_gemma":0.00001276314,"domain_scores_codex":[0.9982638,0.00003740364,0.000474819,0.0002469888,0.000768622,0.0002084012],"domain_scores_gemma":[0.9982877,0.00008379647,0.000474845,0.0004749922,0.0006327772,0.00004593307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002427157,0.0005837543,0.1316785,0.00003799978,0.0003854402,0.0002845491,0.001394535,0.00004106119,0.009590026,0.8054004,0.004236124,0.0461249],"study_design_scores_gemma":[0.00307264,0.001293716,0.02272538,0.0004072713,0.00004043194,0.002114547,0.001477748,0.004843347,0.02968058,0.8175054,0.1159931,0.0008457662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8992649,0.0007410191,0.08765648,0.007494526,0.003185362,0.0001660494,0.00002086295,0.0007177682,0.0007530817],"genre_scores_gemma":[0.9855931,0.0004047391,0.01376714,0.0001334864,0.0000830198,0.000002843352,0.000002516932,0.000008018604,0.000005082447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.111757,"threshold_uncertainty_score":0.5617232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007657240425800848,"score_gpt":0.2397605293713722,"score_spread":0.2321032889455713,"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."}}