{"id":"W4407129488","doi":"10.1109/dsc63484.2024.00098","title":"Security and Privacy of Artificial Intelligence with Ethical Concerns","year":2024,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Information privacy; Internet privacy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003202063,0.00007936035,0.0001100485,0.00005213524,0.00004289552,0.0001127957,0.0003423414,0.00008059707,0.00004076951],"category_scores_gemma":[0.00009716943,0.00005765841,0.00001901261,0.0002876314,0.0001575715,0.00020884,0.000309293,0.00048122,0.000008446282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000118848,"about_ca_system_score_gemma":0.00007940667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005265525,"about_ca_topic_score_gemma":0.00001269749,"domain_scores_codex":[0.9991764,0.00005707744,0.000152168,0.0002824014,0.0002080445,0.000123945],"domain_scores_gemma":[0.9993877,0.0002856225,0.00002670077,0.0002162139,0.00003487481,0.00004889217],"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":[0.000006767613,0.00000836255,0.0001879322,0.00004005557,0.00001069634,0.00002274535,0.003080447,0.001215376,0.0001032545,0.9528203,0.00003017681,0.04247386],"study_design_scores_gemma":[0.00002544013,0.0001122345,0.00008942738,0.00006431385,0.000006792569,0.00002336986,0.0001486452,0.9226394,0.002920426,0.0730363,0.0008118577,0.0001217534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02474571,0.0000747927,0.9706554,0.002583186,0.0001530393,0.00006299913,4.51181e-7,0.0001618351,0.001562602],"genre_scores_gemma":[0.9390876,0.00000602888,0.06070334,0.0001072064,0.00005898381,0.000001670009,2.561231e-7,0.000004926688,0.00002999199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9214241,"threshold_uncertainty_score":0.2351242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294393075141694,"score_gpt":0.3233924823186344,"score_spread":0.293953174804465,"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."}}