{"id":"W4402450494","doi":"10.1109/tnse.2024.3456103","title":"Hide and Recognize Your Privacy Image","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Information privacy; Computer vision; Image (mathematics); Artificial intelligence; Internet privacy","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":[0.0002418801,0.0001073157,0.0000788606,0.0001189428,0.0001727877,0.0007473021,0.0002407306,0.00002446418,0.000002026683],"category_scores_gemma":[0.000004663879,0.00009427061,0.0000240286,0.0009580485,0.0001137568,0.001360548,0.000008629534,0.0001415774,0.00001407402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002438754,"about_ca_system_score_gemma":0.0000583286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003946575,"about_ca_topic_score_gemma":9.900252e-7,"domain_scores_codex":[0.999062,0.000002852336,0.00009853421,0.0003346485,0.0002068206,0.0002951672],"domain_scores_gemma":[0.9996116,0.00004822767,0.00000730414,0.0001685855,0.00003230729,0.0001320455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003137708,0.00002332096,0.000006214487,0.00006472925,0.00002099318,0.00004668891,0.000831411,0.0339314,0.004197718,0.01222487,0.0007459734,0.9479035],"study_design_scores_gemma":[0.0000998441,0.0000819993,0.0002572169,0.0001814759,0.00001107876,0.0001293138,0.00001580335,0.9832297,0.003366525,0.001995363,0.01032968,0.0003019797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03052936,0.0003310423,0.9662166,0.0003445662,0.001232761,0.00005947461,0.000001804881,0.000311114,0.0009732267],"genre_scores_gemma":[0.9806638,0.0001599373,0.01881582,0.00008973529,0.00007381449,0.000007599032,1.013714e-7,0.000008254195,0.0001809135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9501345,"threshold_uncertainty_score":0.7206252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071795376277857,"score_gpt":0.2107106840613241,"score_spread":0.1999927302985456,"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."}}