{"id":"W3131894619","doi":"10.48550/arxiv.2102.09651","title":"Obfuscated Access and Search Patterns in Searchable Encryption","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encryption; Overhead (engineering); Obfuscation; Scheme (mathematics); Cloud computing; Symmetric-key algorithm; Web search query; Database; Outsourcing; Computer network; Computer security; Search engine; Public-key cryptography; Information retrieval; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003965176,0.0002194996,0.0002619759,0.0005172039,0.0001122436,0.0005399202,0.001707298,0.0002434664,0.0000798227],"category_scores_gemma":[0.00001742001,0.0002715665,0.00009771487,0.001152283,0.00009199289,0.001186991,0.005783716,0.0007728584,0.000007676915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000758,"about_ca_system_score_gemma":0.0001912924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002569041,"about_ca_topic_score_gemma":0.001234916,"domain_scores_codex":[0.9978774,0.000260246,0.0001588661,0.001194367,0.0001223514,0.000386721],"domain_scores_gemma":[0.9985161,0.00008887604,0.00007467459,0.001019699,0.0001308243,0.0001697594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007360223,0.0005620745,0.6316139,0.0008078059,0.0001366621,0.002477023,0.002981181,0.0317394,0.0001844866,0.323635,0.0001025157,0.005686346],"study_design_scores_gemma":[0.001251655,0.00007249447,0.3255145,0.0004691397,0.00003550338,0.00001611951,0.0005752462,0.6112212,0.0005205849,0.05912995,0.0002013386,0.0009922828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6799049,0.00006890628,0.3192232,0.00006777524,0.0001353777,0.0001702891,0.00002711435,0.00007645514,0.0003260523],"genre_scores_gemma":[0.9978399,0.001215076,0.0007286963,0.00004960882,0.00002364887,0.000001108194,0.00009900879,0.000008385996,0.0000345934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5794818,"threshold_uncertainty_score":0.9999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097151670440809,"score_gpt":0.2230054270413309,"score_spread":0.1132902599972501,"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."}}