{"id":"W4288057739","doi":"10.1109/sp46214.2022.9833601","title":"Sabre: Sender-Anonymous Messaging with Fast Audits","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Symposium on Security and Privacy (SP)","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Communication source; Audit; Computer science; Computer security; Internet privacy; Computer network; Business; Accounting","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":[0.0007748089,0.0003641559,0.000429184,0.0002316189,0.0008361967,0.0003520754,0.001262434,0.00007076768,0.0002079275],"category_scores_gemma":[0.0000132862,0.0003311913,0.0001559037,0.000702009,0.00007816233,0.0003706192,0.0008039919,0.0008532365,0.00002929468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204779,"about_ca_system_score_gemma":0.00009882958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003966732,"about_ca_topic_score_gemma":0.00004486789,"domain_scores_codex":[0.9967453,0.0003565693,0.0004001789,0.0009893206,0.0009125055,0.0005960564],"domain_scores_gemma":[0.9987426,0.0001607009,0.0002361917,0.0005957476,0.00006776097,0.0001970131],"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":[0.0005025179,0.001972279,0.002058962,0.0003391913,0.001217399,0.001616333,0.1393972,0.05404823,0.003939631,0.7431512,0.03811773,0.01363928],"study_design_scores_gemma":[0.002324801,0.001736726,0.0002973134,0.0001034916,0.000167219,0.0007163907,0.002487208,0.8470769,0.002635102,0.000705773,0.1399913,0.001757827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892833,0.0007176343,0.07110709,0.01102208,0.001886596,0.0007152862,0.0000691341,0.0007362639,0.02091294],"genre_scores_gemma":[0.9968855,0.00005099001,0.0005146464,0.001534198,0.0001643464,0.00004394236,0.00001700792,0.00002969284,0.000759639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7930287,"threshold_uncertainty_score":0.999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021636860695214,"score_gpt":0.2250368398835597,"score_spread":0.2148204712766075,"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."}}