{"id":"W2149805557","doi":"10.1109/icme.2006.262785","title":"A Secret Key Based Multiscale Fragile Watermark in the Wavelet Domain","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Watermark; Digital watermarking; Computer science; Key (lock); Encryption; Embedding; Artificial intelligence; Image (mathematics); Wavelet; Computer vision; Theoretical computer science; Computer security","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":[0.0003814184,0.0003647098,0.0004536925,0.0004607214,0.0001636417,0.0004552076,0.0004478378,0.0007628509,0.0009102061],"category_scores_gemma":[0.0009754072,0.0001997474,0.0004609709,0.0004939978,0.0004084572,0.001550392,0.0005424866,0.0005034435,0.0006253446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093884,"about_ca_system_score_gemma":0.0001986113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001775749,"about_ca_topic_score_gemma":0.000197299,"domain_scores_codex":[0.9997491,0.00002899865,0.00001307095,0.00006664808,0.0001213408,0.00002075076],"domain_scores_gemma":[0.9997266,0.00007032753,0.00006517117,0.00007403364,0.00004589748,0.00001791522],"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":[0.0004530265,0.00008853056,0.0007526964,0.0002830569,0.000122056,0.0006338838,0.0001305454,0.06178957,0.5719541,0.09680438,0.001925418,0.2650627],"study_design_scores_gemma":[0.00005893539,0.0003698856,0.00104863,0.00002342969,0.00006199083,0.001656112,0.00002383936,0.8362984,0.1347482,0.01443233,0.01119955,0.00007878398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01982107,0.0003396359,0.9784707,0.0001070243,0.00006295409,0.00001864141,0.00005666918,0.0002985102,0.0008247941],"genre_scores_gemma":[0.5508015,0.0009895754,0.4412963,0.0001529935,0.0001468089,0.00006650532,0.0002445056,0.00009345771,0.006208363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009102061,"threshold_uncertainty_score":0.003044903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00651210221619357,"score_gpt":0.2149976690809954,"score_spread":0.2084855668648018,"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."}}