{"id":"W4285252588","doi":"10.1109/tnet.2022.3174003","title":"An Anonymity Vulnerability in Tor","year":2022,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Anonymity; Vulnerability (computing); Computer science; Computer security; Internet privacy","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":[],"consensus_categories":[],"category_scores_codex":[0.001090421,0.0001763962,0.0002364222,0.0002079139,0.0006325082,0.0001365259,0.001279783,0.00005401494,0.0001924447],"category_scores_gemma":[0.00000580563,0.0001905015,0.0001640198,0.0009482327,0.00002929477,0.0003194454,0.00002312691,0.0007619685,0.000009562494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002544731,"about_ca_system_score_gemma":0.00005671614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008742089,"about_ca_topic_score_gemma":0.0006557234,"domain_scores_codex":[0.9976862,0.0004689458,0.0003881291,0.0006316568,0.000405018,0.0004200513],"domain_scores_gemma":[0.9989119,0.0001970777,0.00008869886,0.0006740556,0.00003343775,0.00009478345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001898005,0.0003312539,0.0002278068,0.000003218642,0.0000194699,0.00002433527,0.0009990974,0.9136376,0.00004668879,0.001726566,0.00005711265,0.08290788],"study_design_scores_gemma":[0.0002574622,0.0001566131,0.0003440311,0.00001269296,0.00001003217,0.00001245814,0.0001365273,0.9963765,0.00009138935,0.0001670007,0.002211785,0.0002235591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1665221,0.0000407929,0.8310782,0.0002354649,0.001621667,0.0001297727,0.000003201939,0.0001792653,0.0001895089],"genre_scores_gemma":[0.9940099,0.000005332627,0.005257367,0.0003736872,0.0001998566,0.00006127747,0.0000029141,0.00001416786,0.00007547977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8274878,"threshold_uncertainty_score":0.7768425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414816659440874,"score_gpt":0.2682630529693672,"score_spread":0.2441148863749585,"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."}}