{"id":"W4400119981","doi":"10.1145/3634737.3637641","title":"ALLOSAUR: Accumulator with Low-Latency Oblivious Sublinear Anonymous credential Updates with Revocations","year":2024,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Clarendon Fund","keywords":"Accumulator (cryptography); Computer science; Credential; Sublinear function; Latency (audio); Computer network; Mathematics; Algorithm; Telecommunications; Combinatorics","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":[0.0024803,0.0009030448,0.00159795,0.001491225,0.001417453,0.002939637,0.003657135,0.001381823,0.008867671],"category_scores_gemma":[0.009832112,0.0006483417,0.0009248723,0.001530075,0.001956215,0.00698301,0.006706213,0.002040345,0.003984029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104174,"about_ca_system_score_gemma":0.002649901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006382743,"about_ca_topic_score_gemma":0.0008013418,"domain_scores_codex":[0.9961917,0.0009775226,0.0003118306,0.0006007958,0.001381199,0.0005368093],"domain_scores_gemma":[0.9952093,0.001260751,0.0004480288,0.002331903,0.0004291143,0.0003209561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003562309,0.0006917069,0.001444789,0.0006317364,0.0001774992,0.0007843166,0.0006222119,0.1098766,0.04236592,0.3496649,0.02058775,0.4695903],"study_design_scores_gemma":[0.0003042494,0.0006328481,0.0002651451,0.0001087319,0.000072359,0.0008550105,0.0001156814,0.7491569,0.05640604,0.1546378,0.03728469,0.0001604057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03187051,0.0007375977,0.9394534,0.000426328,0.0002644872,0.0004774856,0.0002750067,0.01683146,0.009663618],"genre_scores_gemma":[0.6319728,0.0003058281,0.3515418,0.0004834681,0.0001846052,0.0005381212,0.0004449208,0.0008094207,0.013719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008867671,"threshold_uncertainty_score":0.02966535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005661986153565929,"score_gpt":0.2261764575040514,"score_spread":0.2205144713504855,"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."}}