{"id":"W4414539170","doi":"10.1109/icc52391.2025.11161175","title":"PureDiffusion: Using Backdoor to Counter Backdoor in Generative Diffusion Models","year":2025,"lang":"en","type":"article","venue":"","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Backdoor; Field (mathematics); Generative grammar; Vulnerability (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004062248,0.0001176196,0.0001803311,0.0001804273,0.0002842343,0.00008750903,0.0002396564,0.000136763,0.0007769733],"category_scores_gemma":[0.0001497411,0.0001024523,0.0000438834,0.0005508029,0.0001147298,0.000260866,0.0001013277,0.0001208174,0.00008760327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295382,"about_ca_system_score_gemma":0.0003973037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004839758,"about_ca_topic_score_gemma":0.006866043,"domain_scores_codex":[0.9986106,0.0001316424,0.000255683,0.0002461911,0.0003241047,0.0004317526],"domain_scores_gemma":[0.9993873,0.0001172136,0.00002949007,0.0001727692,0.0001218894,0.0001713981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007138957,0.000299323,0.02279756,0.00004832464,0.0000262184,0.00003302838,0.08272624,0.003346036,0.01033336,0.8452048,0.02967119,0.005442557],"study_design_scores_gemma":[0.003756892,0.0002097994,0.008408614,0.001132695,0.0001110857,0.00000286435,0.07398095,0.1628425,0.007042061,0.1621878,0.5782421,0.002082714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757163,0.00005601008,0.005205393,0.004733132,0.0007927621,0.0004153567,0.000007042169,0.00003952317,0.1130345],"genre_scores_gemma":[0.9613692,0.00009771479,0.004927564,0.01349563,0.0004306949,0.00003020071,0.000003947584,0.000009927612,0.01963515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.683017,"threshold_uncertainty_score":0.8507313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05472744928646717,"score_gpt":0.3829933592318881,"score_spread":0.3282659099454209,"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."}}