{"id":"W7138911994","doi":"10.1145/3788149.3788154","title":"Insecure AI Image Watermarking - Is it Really Damaging The Future?","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Digital watermarking; Image (mathematics); Key (lock); Noise (video); Feature (linguistics)","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":[0.00355164,0.0003006198,0.0002447863,0.001298442,0.001679711,0.005091531,0.0008716069,0.002077816,0.004183066],"category_scores_gemma":[0.01486778,0.0002409942,0.0004227921,0.0008291222,0.006448349,0.01274765,0.002086332,0.001820226,0.001327498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431986,"about_ca_system_score_gemma":0.001420475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006916599,"about_ca_topic_score_gemma":0.0006586013,"domain_scores_codex":[0.9974059,0.0009577574,0.0001083479,0.0002457816,0.001038278,0.0002439596],"domain_scores_gemma":[0.9902091,0.004402921,0.001232015,0.002622401,0.001332719,0.0002008581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001236507,0.00007736916,0.003786719,0.0003557647,0.00003171392,0.00083522,0.004512193,0.003486825,0.011854,0.7485687,0.006105347,0.2202624],"study_design_scores_gemma":[0.00003107401,0.0002054969,0.003976391,0.001020177,0.00007038315,0.002238803,0.01143004,0.02684476,0.03849031,0.7418342,0.1737338,0.0001245058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2430184,0.01113332,0.4373432,0.07373852,0.001582149,0.0003305195,0.000359838,0.00105462,0.2314395],"genre_scores_gemma":[0.9371061,0.004382425,0.04338067,0.001770722,0.0002787099,0.00007949611,0.000109769,0.0001150721,0.01277718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005091531,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009337731046693658,"score_gpt":0.2790830812075746,"score_spread":0.2697453501608809,"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."}}