{"id":"W4403919398","doi":"10.1109/tifs.2024.3488500","title":"Eyes on Federated Recommendation: Targeted Poisoning With Competition and Its Mitigation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Pharmacology and Obesity Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Computer science; Competition (biology); Computer security","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":[0.004890385,0.001484454,0.001546968,0.001562925,0.002148176,0.002855183,0.002579032,0.00490149,0.001833577],"category_scores_gemma":[0.01528431,0.0005964985,0.001454028,0.001473349,0.002087609,0.006581683,0.004072288,0.003848045,0.001161105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691721,"about_ca_system_score_gemma":0.001314731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004402164,"about_ca_topic_score_gemma":0.002524406,"domain_scores_codex":[0.9918801,0.002793282,0.0003495045,0.001389742,0.002877177,0.0007101414],"domain_scores_gemma":[0.9843475,0.00403531,0.001446058,0.007281052,0.002307729,0.0005825119],"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":[0.002409695,0.001052937,0.03182238,0.0003865235,0.001082435,0.002471714,0.002226067,0.1730514,0.04912767,0.1447262,0.04679887,0.5448442],"study_design_scores_gemma":[0.0000974131,0.0005580859,0.003373127,0.00006932953,0.0001625303,0.002237902,0.0003431654,0.889939,0.0287775,0.05122835,0.02307634,0.0001372285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.130805,0.001479919,0.8322452,0.005214714,0.0004495701,0.0003667253,0.0002753614,0.008450173,0.02071337],"genre_scores_gemma":[0.9044951,0.0003556138,0.08502771,0.00184015,0.0001459353,0.0001114661,0.0002153279,0.0001586533,0.007650091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00490149,"threshold_uncertainty_score":0.02586311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009486922414118616,"score_gpt":0.2565432482598259,"score_spread":0.2470563258457073,"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."}}