{"id":"W4405433123","doi":"10.1109/iccv51701.2025.00965","title":"FaceShield: Defending Facial Image Against Deepfake Threats","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Image (mathematics); Computer science; Environmental science; Artificial intelligence","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":[0.0007121141,0.001101804,0.0005592449,0.0004594344,0.0003193257,0.0006086103,0.001014223,0.001053731,0.003339522],"category_scores_gemma":[0.001586361,0.0002771835,0.0007511514,0.0001162819,0.0007923326,0.001065018,0.001577724,0.001390404,0.001212789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005230082,"about_ca_system_score_gemma":0.0004677581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168299,"about_ca_topic_score_gemma":0.002613505,"domain_scores_codex":[0.9996508,0.0000656732,0.000009808687,0.00007671124,0.0001277315,0.00006927488],"domain_scores_gemma":[0.99965,0.0001056749,0.00003833078,0.0001222353,0.00005385316,0.00002979755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006698935,0.0001567533,0.00242355,0.0002453237,0.0002354764,0.0006729024,0.00030137,0.2727979,0.1200805,0.02987868,0.01997329,0.5525644],"study_design_scores_gemma":[0.0000236814,0.0001603941,0.0007939814,0.00004330489,0.00003585667,0.0005417917,0.00005709332,0.9417104,0.04113469,0.008823172,0.006646527,0.00002925607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.109612,0.001389505,0.8678213,0.001037786,0.0003952044,0.0002214141,0.000315086,0.006304724,0.01290307],"genre_scores_gemma":[0.8234771,0.0006254602,0.1553623,0.0007918549,0.00007676147,0.0001106095,0.0005005701,0.0003686772,0.01868665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003339522,"threshold_uncertainty_score":0.01117182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301788413855438,"score_gpt":0.2947318044107394,"score_spread":0.2645529630251956,"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."}}