{"id":"W4237639947","doi":"10.14722/ndss.2020.24150","title":"Secure Sublinear Time Differentially Private Median Computation","year":2020,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Commission","keywords":"Computation; Computer science; Sublinear function; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007064123,0.0001034908,0.0001174469,0.00004976682,0.00007044873,0.0002041191,0.0006060509,0.00004642393,0.0001652606],"category_scores_gemma":[0.00002258198,0.00008939699,0.00006244856,0.0004769528,0.00002716208,0.0004808044,0.0002665451,0.0001091768,0.0003614358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000043614,"about_ca_system_score_gemma":0.00002293734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000815451,"about_ca_topic_score_gemma":0.000006562111,"domain_scores_codex":[0.9990866,0.00004117518,0.0001561714,0.000313466,0.0002316338,0.0001709411],"domain_scores_gemma":[0.9994681,0.00003816753,0.00004487143,0.0002138846,0.00004228663,0.0001926641],"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":[0.00003455085,0.0002099428,0.001413926,0.00006573887,0.00007304416,0.00004617811,0.004446919,0.0001063213,0.006761337,0.8887733,0.04691637,0.05115242],"study_design_scores_gemma":[0.0007884831,0.0001891686,0.004808331,0.000008707466,0.00001038285,0.000005446899,0.00001569332,0.9363472,0.003039193,0.02996205,0.02443034,0.0003950189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02792775,0.00001651758,0.9629422,0.007308902,0.0001170179,0.0001042133,0.00001320226,0.0004000181,0.001170193],"genre_scores_gemma":[0.8407568,0.000007753437,0.1564276,0.002499992,0.0001735454,0.000002710469,0.0001159978,0.000007523247,0.000008094708],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9362409,"threshold_uncertainty_score":0.4645646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370538585817148,"score_gpt":0.218062576290401,"score_spread":0.2043571904322296,"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."}}