{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02568661,0.0009643697,0.001196206,0.001458567,0.004827332,0.01119724,0.001635632,0.009421584,0.003113482],"category_scores_gemma":[0.05233219,0.0007264498,0.001412079,0.001501824,0.03620594,0.01161612,0.006438618,0.0122465,0.0005940877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003809551,"about_ca_system_score_gemma":0.004580328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157045,"about_ca_topic_score_gemma":0.0007390692,"domain_scores_codex":[0.9660093,0.02149716,0.001377648,0.003152947,0.006802151,0.001160869],"domain_scores_gemma":[0.9348717,0.04592271,0.004856645,0.009401188,0.003875953,0.001071873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001176639,0.00001325516,0.000264107,0.00005532247,0.00001849928,0.00008982139,0.0004179089,0.001437522,0.0001442299,0.9900295,0.001339584,0.006178556],"study_design_scores_gemma":[0.000006593137,0.00001191179,0.0001244603,0.00008818525,0.000009226987,0.0001192423,0.0001597441,0.002481637,0.0001517893,0.9884913,0.008343259,0.00001264755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03402383,0.0180166,0.4692243,0.2783847,0.002475752,0.0002234422,0.0002492421,0.0001225608,0.1972796],"genre_scores_gemma":[0.8868758,0.007048156,0.0725465,0.01834243,0.004147947,0.0003829091,0.0001092879,0.00007881433,0.01046815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02568661,"threshold_uncertainty_score":0.1358454,"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."}}