{"id":"W4416250911","doi":"10.1109/ijcnn64981.2025.11228300","title":"Cascade Adversarial Attack Search","year":2025,"lang":"","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Adversarial system; Robustness (evolution); Hyperparameter; Attack model; Cascade; Transferability","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":[0.001968035,0.001934812,0.001526985,0.001046772,0.0005150143,0.0009062199,0.001670342,0.00149847,0.003299945],"category_scores_gemma":[0.004811166,0.0005557638,0.001207798,0.0005363298,0.0012332,0.001491432,0.002266313,0.00173009,0.0005432635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007987619,"about_ca_system_score_gemma":0.0009496726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705074,"about_ca_topic_score_gemma":0.00171636,"domain_scores_codex":[0.9988512,0.0003545708,0.00006167884,0.0002356724,0.0003193919,0.0001775195],"domain_scores_gemma":[0.9974838,0.001655721,0.000232759,0.0002758462,0.0002423792,0.0001094763],"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":[0.00008528968,0.0000485126,0.000713326,0.00005991375,0.00008003327,0.00009624118,0.00003398129,0.9482071,0.002816052,0.01295391,0.00127932,0.03362636],"study_design_scores_gemma":[0.000005000437,0.0000403756,0.00005197478,0.00000457592,0.000009062725,0.00002573971,0.000003418347,0.9956169,0.0006925986,0.003239153,0.0003063205,0.000004788175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03058739,0.0005349843,0.9621003,0.0002426042,0.00006946766,0.0001441113,0.00006413517,0.0006541744,0.005602872],"genre_scores_gemma":[0.8605897,0.0003318006,0.133578,0.0002752183,0.00005044961,0.0002609432,0.0001718084,0.0001067071,0.004635211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003299945,"threshold_uncertainty_score":0.01103944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714895413917641,"score_gpt":0.3322156332473623,"score_spread":0.3050666791081859,"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."}}