{"id":"W2041287153","doi":"10.1145/1073170.1073176","title":"LSB steganalysis based on high-order statistics","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Steganalysis; Least significant bit; Steganography; Computer science; Cover (algebra); Artificial intelligence; Digital image; Higher-order statistics; Pattern recognition (psychology); Image (mathematics); Computer vision; Image processing; Signal 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":[0.0005418476,0.0005279304,0.0007118773,0.001108663,0.0002110963,0.0006340164,0.0003973159,0.0004545232,0.0004833205],"category_scores_gemma":[0.001620534,0.000268226,0.0005143312,0.0006584401,0.001506403,0.0009967482,0.0005619641,0.0006726249,0.0003246246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000484088,"about_ca_system_score_gemma":0.0005198519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085993,"about_ca_topic_score_gemma":0.001179309,"domain_scores_codex":[0.9995694,0.00008133853,0.00001531271,0.00005696547,0.0002332812,0.00004366086],"domain_scores_gemma":[0.9989799,0.000484372,0.0001911926,0.0001543449,0.0001547004,0.0000355673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000335795,0.0001045845,0.004362644,0.0002020209,0.0001424449,0.0005232347,0.0001850299,0.4574941,0.2638441,0.09810428,0.001142948,0.1735589],"study_design_scores_gemma":[0.000007065091,0.00007646433,0.001223529,0.000006947721,0.00001256054,0.0001838706,0.000008284123,0.9594786,0.02687082,0.01149238,0.0006127309,0.00002665539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0302065,0.0001975845,0.9684714,0.00006523386,0.00001611808,0.00001452187,0.0000278333,0.0003420534,0.0006587994],"genre_scores_gemma":[0.7266157,0.0007387394,0.2702984,0.00008541642,0.0001054396,0.00006115992,0.0001599308,0.0001043317,0.001830977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001108663,"threshold_uncertainty_score":0.003512383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008468030452122015,"score_gpt":0.2421617594526367,"score_spread":0.2336937290005147,"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."}}