{"id":"W3144271062","doi":"10.18280/isi.260115","title":"A Novel Image Encryption Using Parity Based Visual Cryptography","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual cryptography; Encryption; Computer science; Cryptography; Pixel; Least significant bit; Exclusive or; Image (mathematics); Theoretical computer science; Bitwise operation; Computer vision; Artificial intelligence; Algorithm; Computer security; Secret sharing; Decoding methods","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304609,0.0001890634,0.0001831185,0.0003770115,0.0003817609,0.0005872119,0.0003322023,0.0001165207,0.00000840855],"category_scores_gemma":[0.0000870459,0.000196192,0.0001498893,0.001154908,0.0001173243,0.0064549,0.0001481341,0.0001536547,0.000008436888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132721,"about_ca_system_score_gemma":0.0001272472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002461641,"about_ca_topic_score_gemma":0.000002676539,"domain_scores_codex":[0.9986364,0.0000705327,0.0004655879,0.0002054673,0.0003012939,0.0003207154],"domain_scores_gemma":[0.9988016,0.00004706633,0.0002560534,0.0003838482,0.0004313867,0.00007998795],"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":[0.0001382635,0.0007230052,0.01746368,0.001685425,0.0001932175,0.0000730596,0.01010385,0.002836603,0.3999953,0.1890078,0.0003321305,0.3774477],"study_design_scores_gemma":[0.001477792,0.0002215855,0.02243952,0.0006805047,0.00004284591,0.0002666454,0.0003452178,0.5860936,0.3259538,0.05869877,0.002544934,0.001234733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0723799,0.00004129189,0.9254177,0.00003106658,0.0002057554,0.000154497,0.00000873967,0.0005717319,0.001189313],"genre_scores_gemma":[0.5293993,0.000008074013,0.4703028,0.0002000957,0.00002226358,0.00001865305,0.00004228883,0.000005262944,0.000001223397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.583257,"threshold_uncertainty_score":0.8000477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810744894852722,"score_gpt":0.2622402956780406,"score_spread":0.2441328467295134,"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."}}