{"id":"W6901674300","doi":"10.60692/cecfd-89t90","title":"IMG‐forensics: Multimedia‐enabled information hiding investigation using convolutional neural network","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Information hiding; Steganography; Encryption; Robustness (evolution); Cover (algebra); Least significant bit; Cryptography; Convolutional neural network","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":[0.0002575495,0.0003638958,0.0001870324,0.0004514029,0.0002001323,0.0002587023,0.0004972199,0.0004460023,0.001227648],"category_scores_gemma":[0.0003645961,0.0001510555,0.0002126204,0.000245384,0.0002370921,0.0005433259,0.0004303673,0.0003109441,0.0002298878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095284,"about_ca_system_score_gemma":0.0005416741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004065505,"about_ca_topic_score_gemma":0.004736881,"domain_scores_codex":[0.9999112,0.00001111901,0.000003450448,0.00001568695,0.00003938047,0.00001919763],"domain_scores_gemma":[0.9999115,0.00002190832,0.000014628,0.00001403524,0.0000302082,0.000007727552],"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":[0.0006211916,0.0003422021,0.005888233,0.000156117,0.0001303884,0.0004754367,0.00008417513,0.1917446,0.1498314,0.004928639,0.00369554,0.642102],"study_design_scores_gemma":[0.000007905773,0.00007804779,0.001399923,0.000008338478,0.00001535308,0.0001338902,0.000008603088,0.9631296,0.03365631,0.0006449135,0.000905936,0.00001109435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3698837,0.001257197,0.6156896,0.0005186589,0.0001244002,0.0001173157,0.0002758219,0.004099062,0.008034192],"genre_scores_gemma":[0.9112691,0.0004273939,0.08190048,0.00008908252,0.00001761127,0.0000400083,0.0002978791,0.00003451459,0.005923963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004065505,"threshold_uncertainty_score":0.008083701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03441775757706392,"score_gpt":0.2165224313501087,"score_spread":0.1821046737730448,"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."}}