{"id":"W2109230227","doi":"10.1109/isie.2005.1529103","title":"Efficient encryption of compressed color images","year":2005,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Tsinghua Shenzhen International Graduate School; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Encryption; Computer vision; Artificial intelligence; Computer graphics (images); Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002586868,0.0001100098,0.0001437029,0.0001250744,0.00005217494,0.00005064795,0.0004881509,0.00003909145,0.0001536627],"category_scores_gemma":[0.00003113319,0.00009757582,0.00006683933,0.0003026999,0.00006361346,0.0002247645,0.0001378504,0.00007440671,0.0002119888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000635176,"about_ca_system_score_gemma":0.00004531507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003926154,"about_ca_topic_score_gemma":0.000004674675,"domain_scores_codex":[0.9988788,0.00005411087,0.0002662078,0.000272172,0.0003321317,0.0001966247],"domain_scores_gemma":[0.9991769,0.0001053839,0.0001099508,0.0003960184,0.0001444783,0.00006724219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002401168,0.0003778866,0.00006911201,0.00002685587,0.00001169453,0.000003688056,0.0003355863,0.1082305,0.8176851,0.03777555,0.003360674,0.03209938],"study_design_scores_gemma":[0.0004147467,0.00007810825,0.001926408,0.00001263905,0.000003867575,0.00000478253,0.00001111804,0.6849993,0.3111875,0.0002005075,0.001050184,0.0001107793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1353318,0.00005910593,0.8572466,0.001030438,0.0001185618,0.0001688572,0.000002472731,0.0002031265,0.00583906],"genre_scores_gemma":[0.8592206,0.000003103306,0.1402111,0.0002289786,0.00005073227,0.000008013348,0.000002014444,0.000005184674,0.0002702893],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7238888,"threshold_uncertainty_score":0.3979027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009185987895555015,"score_gpt":0.2340589929675222,"score_spread":0.2248730050719671,"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."}}