{"id":"W7148467367","doi":"10.1109/asru65441.2025.11434705","title":"Multi-Target Backdoor Attacks Against Speaker Recognition","year":2025,"lang":"","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Backdoor; Speaker recognition; Speaker identification; Task (project management); Speaker diarisation; Speaker verification; Identification (biology)","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":[0.0009245789,0.0009090642,0.001039631,0.0005674257,0.0005219927,0.0008060678,0.0007180523,0.001156703,0.001830686],"category_scores_gemma":[0.002653704,0.0002647957,0.0008376717,0.0002244065,0.000785958,0.001598081,0.002336916,0.001400098,0.001134478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749452,"about_ca_system_score_gemma":0.0003428178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001824802,"about_ca_topic_score_gemma":0.0001915332,"domain_scores_codex":[0.9980162,0.0004075512,0.00008988027,0.0003509974,0.0008230468,0.0003123034],"domain_scores_gemma":[0.9978346,0.0008999119,0.000284017,0.0006078313,0.0002378459,0.0001357294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001712559,0.0004512117,0.005502642,0.0004424342,0.000454487,0.001542088,0.0005080371,0.0850833,0.5283197,0.02405666,0.00277863,0.3491482],"study_design_scores_gemma":[0.00005440795,0.001453799,0.002257853,0.00006227192,0.0001468337,0.004157142,0.000141303,0.5648206,0.4120541,0.008083312,0.006646995,0.0001214147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1816072,0.001125578,0.8093314,0.0002415795,0.0002633659,0.0001215627,0.00009194253,0.002698742,0.004518752],"genre_scores_gemma":[0.9500842,0.0002203568,0.04696435,0.0001323633,0.000053787,0.00004334389,0.00006292632,0.00006831709,0.002370404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001830686,"threshold_uncertainty_score":0.006124318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04730060825118691,"score_gpt":0.2875064403786451,"score_spread":0.2402058321274582,"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."}}