{"id":"W4401692016","doi":"10.1109/isit57864.2024.10619282","title":"Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption","year":2024,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Homomorphic encryption; Computer science; Encryption; Homomorphic secret sharing; Inference; Theoretical computer science; Computer network; Cryptography; Secret sharing; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004768748,0.0005345984,0.001140846,0.0006091061,0.001487832,0.002474056,0.0020473,0.001548965,0.002373111],"category_scores_gemma":[0.009400264,0.0006562456,0.001048855,0.0009564274,0.001845133,0.007045517,0.006321989,0.003822264,0.0008469356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196624,"about_ca_system_score_gemma":0.002174482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007379347,"about_ca_topic_score_gemma":0.0007226018,"domain_scores_codex":[0.9941245,0.001756013,0.0005641227,0.0008209712,0.002184216,0.0005502158],"domain_scores_gemma":[0.9881949,0.003319588,0.000919458,0.006651379,0.0007109392,0.0002037512],"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":[0.0009347375,0.000349385,0.002598594,0.0002104006,0.0001936204,0.001082574,0.0008819311,0.1256076,0.03314031,0.6931908,0.006943822,0.1348663],"study_design_scores_gemma":[0.0001185126,0.000123152,0.0004100727,0.00002791911,0.00003884529,0.0004141238,0.0001177776,0.7042902,0.02478094,0.264573,0.005050685,0.00005471083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0116747,0.00006172845,0.9857522,0.0005564877,0.0000332484,0.0001179635,0.0001417362,0.0003681444,0.001293784],"genre_scores_gemma":[0.7439417,0.0001717434,0.2507888,0.0003452693,0.00009314785,0.0005307473,0.0003997978,0.0000929044,0.003635813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004768748,"threshold_uncertainty_score":0.02521986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.11996833771864,"score_gpt":0.3642560826879223,"score_spread":0.2442877449692822,"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."}}