{"id":"W2096655583","doi":"10.5539/cis.v5n1p77","title":"Robustness of Multi Biometric Authentication Systems against Spoofing","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spoofing attack; Biometrics; Computer science; Robustness (evolution); Vulnerability (computing); Computer security; Trait; Authentication (law); Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002759288,0.0009610137,0.001062218,0.001929328,0.0006517253,0.001300093,0.000713865,0.00128267,0.001389222],"category_scores_gemma":[0.01614918,0.0003688508,0.0008696433,0.0006098857,0.0006958572,0.001398491,0.001365051,0.0005496227,0.000746286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702617,"about_ca_system_score_gemma":0.0002196139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007234684,"about_ca_topic_score_gemma":0.0002170253,"domain_scores_codex":[0.9949891,0.000927364,0.0006928524,0.0009441794,0.001965537,0.0004809936],"domain_scores_gemma":[0.9850508,0.006208399,0.002445168,0.003984317,0.001986847,0.0003244255],"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":[0.006046755,0.0003688786,0.04590444,0.0006886542,0.00105703,0.0009710396,0.0004701078,0.3529784,0.3505616,0.002750375,0.001223872,0.2369788],"study_design_scores_gemma":[0.00007040555,0.003160479,0.03958797,0.0001125126,0.0003717788,0.002289284,0.000238237,0.7106069,0.2383084,0.002988178,0.002063984,0.000201951],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235085,0.001230344,0.0704862,0.000178939,0.0001076189,0.0001012142,0.0002632356,0.001150423,0.00297356],"genre_scores_gemma":[0.9959924,0.00008988022,0.003502464,0.0000141769,0.000007951879,0.00001136764,0.00009094126,0.00001556359,0.0002752995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002759288,"threshold_uncertainty_score":0.01459271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05127715975376575,"score_gpt":0.2502041331524494,"score_spread":0.1989269733986836,"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."}}