{"id":"W4404704192","doi":"10.1561/116.20240038","title":"A Comprehensive Survey of Digital Image Steganography and Steganalysis","year":2024,"lang":"en","type":"article","venue":"APSIPA Transactions on Signal and Information Processing","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Steganalysis; Steganography; Digital image; Computer science; Artificial intelligence; Steganography tools; Image (mathematics); Computer vision; Computer security; Image processing","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":[0.0006663936,0.0008420693,0.0008036791,0.004048752,0.0003389452,0.001284539,0.0005261558,0.0008645328,0.003431541],"category_scores_gemma":[0.002098774,0.0004150732,0.0004417813,0.004429484,0.000615203,0.002971102,0.0006980823,0.0008041174,0.001386287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005610764,"about_ca_system_score_gemma":0.0008232621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009607999,"about_ca_topic_score_gemma":0.001097338,"domain_scores_codex":[0.9993855,0.0001126646,0.00007575491,0.0001052168,0.0002710633,0.00004986617],"domain_scores_gemma":[0.9984478,0.0009945972,0.000110339,0.00009815591,0.0003038814,0.00004529299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005938788,0.00007633735,0.002278611,0.006808829,0.00006004635,0.0001344384,0.0002131912,0.005220752,0.004004984,0.0380645,0.01566136,0.9274176],"study_design_scores_gemma":[0.00000938807,0.0003431674,0.006490656,0.004610454,0.0001116647,0.003039393,0.0005060619,0.01770512,0.008960092,0.03550345,0.9226201,0.0001005681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01215951,0.8565708,0.08743231,0.001715331,0.0006829903,0.0001043955,0.0005591192,0.0003358289,0.04043972],"genre_scores_gemma":[0.05589341,0.8954176,0.03534186,0.000783477,0.0009079354,0.00006849551,0.001118603,0.00008600065,0.01038252],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004048752,"threshold_uncertainty_score":0.01147962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460887602743838,"score_gpt":0.2467037970387301,"score_spread":0.2320949210112917,"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."}}