{"id":"W1247648998","doi":"10.1007/978-3-642-40084-1_3","title":"Garbled Circuits Checking Garbled Circuits: More Efficient and Secure Two-Party Computation","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Israel Science Foundation","keywords":"Computer science; Electronic circuit; Computation; Secure multi-party computation; Theoretical computer science; Algorithm; Electrical engineering","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":[0.002608593,0.002055549,0.002652709,0.001993638,0.001169847,0.005784973,0.003535431,0.002778875,0.01481142],"category_scores_gemma":[0.009879188,0.001226875,0.002945209,0.003106382,0.003862453,0.01571913,0.007526621,0.00728157,0.003679276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739479,"about_ca_system_score_gemma":0.001885772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005964334,"about_ca_topic_score_gemma":0.0007939591,"domain_scores_codex":[0.9941414,0.001365777,0.0004416726,0.001198841,0.002106923,0.0007454036],"domain_scores_gemma":[0.9924802,0.002992118,0.0003091774,0.003414743,0.0006149083,0.0001890082],"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":[0.001286605,0.0003709067,0.0005049473,0.000782034,0.000167939,0.0004013193,0.0003280637,0.03652661,0.0242311,0.7091873,0.009661695,0.2165515],"study_design_scores_gemma":[0.0002500211,0.0001872374,0.0001833165,0.0001379083,0.0001290996,0.0004252459,0.00006186486,0.1422418,0.029263,0.8115173,0.01549513,0.0001080397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02337323,0.001258822,0.9527795,0.000979472,0.000844613,0.0002555527,0.0002732375,0.004507769,0.0157278],"genre_scores_gemma":[0.5380606,0.00119599,0.43313,0.001182456,0.0005890036,0.0003057932,0.0008442001,0.00157224,0.02311976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01481142,"threshold_uncertainty_score":0.04954916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578873189766865,"score_gpt":0.2481652209625657,"score_spread":0.232376489064897,"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."}}