{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537984,0.000462705,0.0006085548,0.0008567105,0.002198676,0.001921314,0.001044504,0.001369976,0.001722519],"category_scores_gemma":[0.007284435,0.0002701202,0.0007306858,0.000770621,0.002785692,0.004082467,0.003108991,0.001312753,0.0003762704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312917,"about_ca_system_score_gemma":0.0008818766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689275,"about_ca_topic_score_gemma":0.0009064802,"domain_scores_codex":[0.9963039,0.001142811,0.0001590219,0.0005448322,0.001205383,0.0006439878],"domain_scores_gemma":[0.994017,0.001965664,0.0008747269,0.002141672,0.0007934704,0.0002074503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001417657,0.0001650718,0.02590577,0.0007623013,0.0003805005,0.006308516,0.007951829,0.2956557,0.06652663,0.4519509,0.01599484,0.1269803],"study_design_scores_gemma":[0.00003720499,0.0005052701,0.008815948,0.000162768,0.0002825973,0.0088799,0.003875184,0.6831741,0.103974,0.1315321,0.0584627,0.0002981944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6570909,0.00088342,0.3087054,0.001017436,0.0002262351,0.0002360775,0.0005327247,0.003093273,0.02821452],"genre_scores_gemma":[0.9917994,0.00009718585,0.006636316,0.00007591084,0.00001182882,0.00003309762,0.00005685417,0.00004127674,0.001248113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002198676,"threshold_uncertainty_score":0.009525895,"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."}}