{"id":"W4315779407","doi":"10.56553/popets-2023-0029","title":"Lox: Protecting the Social Graph in Bridge Distribution","year":2023,"lang":"en","type":"article","venue":"Proceedings on Privacy Enhancing Technologies","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Canada Research Chairs","keywords":"Computer science; Computer security; Anonymity; Bridge (graph theory); Credential; The Internet; Internet privacy; Adversary; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001628381,0.0002052826,0.0002297274,0.0003431861,0.0006656873,0.0003273266,0.001787617,0.0001664585,9.334415e-7],"category_scores_gemma":[0.001986078,0.0001503081,0.0001133874,0.002784878,0.0001012778,0.0003517692,0.0008945395,0.0009214774,0.00004767926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260895,"about_ca_system_score_gemma":0.00002306833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001208881,"about_ca_topic_score_gemma":0.00001241215,"domain_scores_codex":[0.9981331,0.00002205864,0.0003782426,0.0005430534,0.0003616051,0.0005618927],"domain_scores_gemma":[0.9993448,0.0001439938,0.0002110225,0.0001720825,0.0001127272,0.0000153685],"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":[0.00001570953,0.00008200207,0.001352801,0.00009702663,0.00004895964,0.00001796561,0.01086003,0.0002211177,0.004560399,0.8668004,0.003671137,0.1122724],"study_design_scores_gemma":[0.001003561,0.000469526,0.02354813,0.0008792256,0.00003973661,0.00004436544,0.02150606,0.7244679,0.1884794,0.03408021,0.003842754,0.001639078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9075218,0.00002688702,0.07978325,0.00791326,0.0001249922,0.0003250948,0.000001267681,0.004137857,0.000165573],"genre_scores_gemma":[0.9990416,0.00001752358,0.0006783298,0.00005179906,0.00005035367,0.0001177226,0.000002891579,0.00001260638,0.0000271293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8327202,"threshold_uncertainty_score":0.6129386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373601132937976,"score_gpt":0.2694277867333167,"score_spread":0.2456917754039369,"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."}}