{"id":"W4415883248","doi":"10.1109/jsyst.2025.3619401","title":"Distributed Anomaly Detection With Attention-Guided Diffusion Models and Client-Side Defect Generation","year":2025,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Anomaly detection; Modular design; Inference; Data modeling; Process (computing); Domain (mathematical analysis); Distributed database; Modularity (biology)","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":[0.0008150149,0.0009184001,0.0009414092,0.001032189,0.0003499208,0.0007638573,0.002492738,0.001119055,0.0007513515],"category_scores_gemma":[0.002541595,0.0004228838,0.0008213799,0.0007949887,0.0008544551,0.001479139,0.001391838,0.001348766,0.0003188301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090879,"about_ca_system_score_gemma":0.0008135472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005661841,"about_ca_topic_score_gemma":0.006350841,"domain_scores_codex":[0.9994259,0.00007279588,0.00002303008,0.0002491591,0.0001543314,0.0000749614],"domain_scores_gemma":[0.998727,0.0004654208,0.0001764466,0.0002497783,0.0003121612,0.00006914549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003127065,0.0002947227,0.01273856,0.0001350667,0.0001009642,0.0004092508,0.0003146312,0.6023896,0.03074427,0.008706932,0.005369379,0.338484],"study_design_scores_gemma":[0.000004518551,0.00001882679,0.000320386,0.000001755488,0.000005607319,0.00004444915,0.000009538488,0.9938548,0.002947938,0.002511344,0.0002764649,0.00000423039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06451405,0.0002367752,0.9306636,0.0002887999,0.00003894685,0.00004413483,0.0001267561,0.003384151,0.0007027465],"genre_scores_gemma":[0.8685666,0.0001249439,0.1279656,0.0001627342,0.00004000077,0.00007032248,0.0004384455,0.0001326231,0.002498883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005661841,"threshold_uncertainty_score":0.01125777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138926821476249,"score_gpt":0.2553661889209643,"score_spread":0.2339769207062018,"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."}}