{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00162533,0.0005825152,0.0006430864,0.0006272734,0.0009559131,0.0008448733,0.003543693,0.0004971351,0.001655573],"category_scores_gemma":[0.0006222342,0.0006023801,0.0003421132,0.002760772,0.0004007414,0.001161539,0.00403054,0.001778639,0.00118209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267856,"about_ca_system_score_gemma":0.001498225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007243648,"about_ca_topic_score_gemma":0.00004906278,"domain_scores_codex":[0.9943395,0.0007968361,0.0008653982,0.001614738,0.001010734,0.001372744],"domain_scores_gemma":[0.9966902,0.0007139414,0.0001550602,0.001806903,0.0003312243,0.0003027045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001874514,0.0002795622,0.003032125,0.000222325,0.0003912989,0.0002063417,0.002763103,0.2520413,0.000238783,0.4599035,0.02936763,0.2513666],"study_design_scores_gemma":[0.001982788,0.0001145706,0.00197208,0.0001761212,0.00007718562,0.00001534408,0.0002738847,0.9388804,0.0009897505,0.0009606408,0.05393382,0.0006234358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003073727,0.0003681676,0.7932665,0.008521804,0.008032499,0.0004764384,0.000002799853,0.0003281939,0.1859298],"genre_scores_gemma":[0.8544775,0.00007548867,0.05647415,0.001994092,0.0009461271,0.0000117241,0.00000421864,0.00003610622,0.08598065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8514037,"threshold_uncertainty_score":0.9996427,"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."}}