{"id":"W2395604259","doi":"","title":"Secure Computation with Sublinear Amortized Work.","year":2011,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Sublinear function; Secure two-party computation; Computer science; Computation; Secure multi-party computation; Protocol (science); Theoretical computer science; Function (biology); Simple (philosophy); Security parameter; Algorithm; Cryptography; Mathematics; Discrete mathematics","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":[0.005551507,0.002176481,0.001982663,0.00166398,0.002536782,0.006274738,0.004352768,0.003015556,0.01467301],"category_scores_gemma":[0.0136419,0.001177205,0.003626091,0.00275034,0.0057345,0.02028453,0.00989207,0.005074918,0.005400199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004482387,"about_ca_system_score_gemma":0.003988706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006642403,"about_ca_topic_score_gemma":0.0008657521,"domain_scores_codex":[0.989073,0.002405279,0.0008082213,0.002061087,0.004089224,0.00156311],"domain_scores_gemma":[0.976486,0.006474583,0.001135871,0.01445793,0.0007862669,0.0006593458],"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":[0.002268064,0.0003273185,0.0009012928,0.0006216819,0.0002435242,0.0002498429,0.0004259953,0.04607416,0.01726325,0.8614157,0.009028596,0.06118067],"study_design_scores_gemma":[0.0003010641,0.0001767302,0.0002018288,0.00006448018,0.0001406999,0.0003080123,0.0000770448,0.1855929,0.01982919,0.7813154,0.01193146,0.00006118045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03453591,0.0008199465,0.93211,0.003370361,0.0002450731,0.0006891334,0.0008118528,0.004466984,0.02295072],"genre_scores_gemma":[0.6212865,0.0008786927,0.3518468,0.0008426898,0.0003723963,0.001829149,0.001391653,0.001558808,0.01999334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01467301,"threshold_uncertainty_score":0.04908603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223179254063797,"score_gpt":0.2463094695259464,"score_spread":0.2239915441195667,"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."}}