{"id":"W4399529617","doi":"10.1109/csnt60213.2024.10545943","title":"The Impact of Adversarial Attacks on Medical Imaging AI Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Adversarial system; Computer science; Medical imaging; Artificial intelligence; Computer security","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":[0.00563526,0.0008479538,0.0006277544,0.0006793882,0.0009245595,0.001714744,0.001051536,0.001322297,0.001844549],"category_scores_gemma":[0.02684275,0.0003718504,0.0005905919,0.0004002902,0.002434799,0.002675779,0.00338368,0.00248182,0.0005242105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143045,"about_ca_system_score_gemma":0.0007719336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980121,"about_ca_topic_score_gemma":0.001094415,"domain_scores_codex":[0.9954578,0.002194709,0.0001389887,0.0005430615,0.001165811,0.0004997583],"domain_scores_gemma":[0.9760574,0.01702513,0.001584497,0.00345418,0.001350498,0.000528274],"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":[0.0004786025,0.0000877612,0.007425189,0.00009556088,0.000182713,0.0002973841,0.0003618229,0.8676905,0.008814894,0.03856527,0.003671709,0.07232852],"study_design_scores_gemma":[0.000009630513,0.00009223641,0.001258783,0.00002135604,0.00002090343,0.0001491331,0.00006193995,0.9737316,0.003931927,0.01921321,0.001487574,0.00002177733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.282058,0.001764045,0.6910034,0.006040797,0.0003737205,0.0001535045,0.0002192877,0.001348607,0.01703862],"genre_scores_gemma":[0.9799578,0.0002704295,0.01761941,0.0004144559,0.00009748709,0.0000300591,0.00007552259,0.00007418386,0.001460548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00563526,"threshold_uncertainty_score":0.02980244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611239916290104,"score_gpt":0.3283283972389611,"score_spread":0.319717157322671,"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."}}