{"id":"W4413325618","doi":"10.1145/3760260","title":"RDIAS: Robust and Decentralized Image Authentication System","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Authentication (law); Image (mathematics); Computer vision; Robustness (evolution); Artificial intelligence; Computer security; Human–computer interaction; Distributed computing","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":[0.001086676,0.0008332962,0.00113846,0.001402626,0.0008251954,0.001345717,0.002657456,0.001198082,0.007540097],"category_scores_gemma":[0.002769075,0.0004072805,0.0004947067,0.0006017823,0.0006976626,0.002815027,0.00307644,0.001089708,0.006029411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008995561,"about_ca_system_score_gemma":0.001148968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245848,"about_ca_topic_score_gemma":0.0007819877,"domain_scores_codex":[0.9985165,0.000179342,0.0001436167,0.0003892751,0.0005988801,0.0001723397],"domain_scores_gemma":[0.9982994,0.0001704492,0.0002416533,0.0006556438,0.0004977485,0.0001350498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003449499,0.0004940315,0.003123855,0.0005349396,0.0001599142,0.00110236,0.0003747517,0.03120592,0.1633124,0.02147573,0.06360625,0.7111603],"study_design_scores_gemma":[0.0003988391,0.0007780323,0.002300819,0.00006348482,0.0001204944,0.001499264,0.0001052054,0.8074259,0.1222306,0.01292995,0.05192848,0.0002189586],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0355603,0.001048931,0.8470056,0.000594007,0.0003020386,0.000671869,0.0008060268,0.1038925,0.01011861],"genre_scores_gemma":[0.7852163,0.0004355024,0.1921335,0.0006273866,0.0002317851,0.0005090533,0.001860055,0.0004725629,0.01851387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007540097,"threshold_uncertainty_score":0.02522415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519893999837397,"score_gpt":0.2665727104413121,"score_spread":0.2513737704429382,"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."}}