{"id":"W3191044189","doi":"10.48550/arxiv.2107.14642","title":"Practical Attacks on Voice Spoofing Countermeasures","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spoofing attack; Computer science; Computer security; Authentication (law); Adversarial system; Key (lock); Vulnerability (computing); Artificial intelligence","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":[0.001759929,0.001060046,0.000556167,0.0006361339,0.0004426383,0.0008841113,0.0007628836,0.001237989,0.001942561],"category_scores_gemma":[0.006631988,0.0002267383,0.0004988774,0.0002619602,0.0012855,0.001490891,0.002504361,0.00146551,0.0007786753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004689991,"about_ca_system_score_gemma":0.0003250628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001901617,"about_ca_topic_score_gemma":0.0001554231,"domain_scores_codex":[0.9971485,0.0009604354,0.0001169304,0.0003184399,0.001111062,0.0003446235],"domain_scores_gemma":[0.9962139,0.002026998,0.0003949541,0.0009294712,0.0003247502,0.0001098646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008419482,0.0002728846,0.003331043,0.0002919241,0.0001912995,0.0007388339,0.0003217046,0.5050717,0.1639545,0.08715571,0.005601534,0.2322267],"study_design_scores_gemma":[0.00003925647,0.000361211,0.0008840454,0.00005867297,0.00003579356,0.0006879961,0.00007729574,0.9116234,0.06350458,0.01631727,0.006373117,0.00003737542],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1420579,0.0007616994,0.8389918,0.0008722605,0.0001882968,0.0001678286,0.0001174219,0.002361761,0.01448108],"genre_scores_gemma":[0.9590517,0.0002051038,0.03845515,0.0002118902,0.00004184582,0.00007432734,0.0000672746,0.00006094777,0.001831611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001942561,"threshold_uncertainty_score":0.009307504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1751455147135312,"score_gpt":0.2395126184190901,"score_spread":0.06436710370555884,"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."}}