{"id":"W4280551318","doi":"10.1016/j.apacoust.2022.108817","title":"From environmental sound representation to robustness of 2D CNN models against adversarial attacks","year":2022,"lang":"en","type":"article","venue":"Applied Acoustics","topic":"Music and Audio Processing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Computer science; Pattern recognition (psychology); Convolutional neural network; Artificial intelligence; Spectrogram; Speech recognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001367405,0.001540657,0.000877796,0.000698724,0.0002814861,0.0010313,0.001109364,0.00198134,0.00167952],"category_scores_gemma":[0.00811546,0.000849739,0.0005749105,0.000407838,0.001249248,0.001996804,0.002365406,0.001999128,0.0005174093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007293355,"about_ca_system_score_gemma":0.0006023291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003105246,"about_ca_topic_score_gemma":0.001980521,"domain_scores_codex":[0.9993924,0.0001423124,0.00002834037,0.000147709,0.0001864155,0.0001027352],"domain_scores_gemma":[0.9973015,0.001537879,0.000327,0.0004954345,0.0002492658,0.0000889546],"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":[0.0001508089,0.00002575993,0.0007563429,0.00006039771,0.00005212123,0.00007665556,0.00003526248,0.943333,0.008449202,0.00936834,0.001057121,0.03663499],"study_design_scores_gemma":[0.000002285622,0.00001875491,0.0002514251,0.000008472783,0.000006313513,0.00002169332,0.000004914279,0.9940499,0.001526269,0.003953695,0.0001510172,0.00000527861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09330464,0.0008776535,0.8983197,0.001149393,0.0001851216,0.00004090736,0.0002949943,0.001187387,0.004640127],"genre_scores_gemma":[0.9659919,0.00061896,0.02863312,0.0002428454,0.0001182836,0.00004522951,0.0003916287,0.0002111611,0.003746955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003105246,"threshold_uncertainty_score":0.007231593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291163535744434,"score_gpt":0.2378329399422885,"score_spread":0.2149213045848442,"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."}}