{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003645618,0.001324138,0.002547075,0.0008011688,0.00194876,0.00393365,0.002525707,0.00215929,0.01189984],"category_scores_gemma":[0.01544335,0.0006465298,0.00129961,0.002339443,0.002272748,0.007019146,0.00708263,0.004287455,0.005000296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003557531,"about_ca_system_score_gemma":0.005272003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245534,"about_ca_topic_score_gemma":0.002232041,"domain_scores_codex":[0.9935254,0.001401847,0.0003618362,0.001379439,0.001842559,0.001489005],"domain_scores_gemma":[0.9892102,0.005337931,0.0006455968,0.003669367,0.0007671848,0.0003695513],"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":[0.007726375,0.0004894548,0.002678312,0.000771643,0.0003376487,0.0005882758,0.0004797335,0.2076186,0.01459497,0.4528547,0.07700761,0.2348526],"study_design_scores_gemma":[0.0004564844,0.0001848384,0.0003562157,0.00006575749,0.00005602843,0.0002660947,0.00008830547,0.5387771,0.00672684,0.4451323,0.007837269,0.0000527121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05833563,0.002961959,0.8951241,0.008850642,0.001083465,0.000352223,0.003608198,0.006035596,0.02364822],"genre_scores_gemma":[0.8849373,0.0008910689,0.09571853,0.002057062,0.0006771735,0.000441649,0.001823655,0.0004010142,0.01305264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189984,"threshold_uncertainty_score":0.03980887,"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."}}