{"id":"W3092431601","doi":"10.48550/arxiv.2010.03465","title":"Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information leakage; Encryption; Limiting; Set (abstract data type); Computer security; Symmetric-key algorithm; Public-key cryptography","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.0007998992,0.0003814111,0.0003739775,0.0004347335,0.0003764148,0.0007527113,0.004972497,0.0002553034,0.00008786267],"category_scores_gemma":[0.00003762171,0.0003854836,0.000264588,0.001452976,0.0001429836,0.001449845,0.008955342,0.001714301,0.0001053627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927216,"about_ca_system_score_gemma":0.0001805507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002962002,"about_ca_topic_score_gemma":0.0003262258,"domain_scores_codex":[0.9965893,0.000465813,0.0003157915,0.001631051,0.0003064892,0.000691579],"domain_scores_gemma":[0.9976029,0.000300983,0.0002082497,0.001558526,0.0001230516,0.00020629],"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":[0.0002766364,0.001158449,0.3954947,0.002907471,0.0006829482,0.006655487,0.07612103,0.08862875,0.001895447,0.2786193,0.002880118,0.1446798],"study_design_scores_gemma":[0.0009323141,0.00008318765,0.02306283,0.0004582119,0.00004578608,0.000008222679,0.001576416,0.9315022,0.002887041,0.03766192,0.0007074384,0.001074415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3859162,0.00002958241,0.611587,0.001401645,0.0002262501,0.000342144,0.00005630535,0.0001474882,0.0002932954],"genre_scores_gemma":[0.998244,0.0003659613,0.0002587154,0.0008910061,0.0001491702,0.000003922787,0.00004851957,0.00002343447,0.00001529622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8428735,"threshold_uncertainty_score":0.9998597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.221229707175314,"score_gpt":0.2442440579478868,"score_spread":0.0230143507725728,"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."}}