{"id":"W4402157614","doi":"10.1109/icc51166.2024.10622191","title":"Poisoning Attack Mitigation for Privacy-Preserving Federated Learning-Based Energy Theft Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Science Foundation","keywords":"Computer security; Computer science; Internet privacy; Information privacy","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":[0.002112866,0.0006495524,0.0009837075,0.0006398018,0.0006467106,0.00114859,0.001415671,0.001069836,0.0007126456],"category_scores_gemma":[0.006880831,0.0002635952,0.0005709104,0.0006152323,0.001009674,0.00307508,0.002248623,0.001178259,0.000332235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008747135,"about_ca_system_score_gemma":0.0009697907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114944,"about_ca_topic_score_gemma":0.001094491,"domain_scores_codex":[0.9982651,0.0004797346,0.0001331757,0.0003892207,0.0005247602,0.0002080432],"domain_scores_gemma":[0.9964086,0.001053534,0.0004891611,0.001305731,0.0006024346,0.0001405196],"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":[0.001050013,0.000666074,0.0228774,0.0001742522,0.0002650328,0.0007725003,0.0004536743,0.4840267,0.02504242,0.0242685,0.005990324,0.4344132],"study_design_scores_gemma":[0.00001491698,0.00009057009,0.0007614071,0.000009052368,0.00001725541,0.000213354,0.00003934667,0.9786905,0.01208831,0.007356194,0.0007053963,0.00001370842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1180055,0.0002450643,0.8767144,0.0003477894,0.00005885341,0.00008769835,0.0001102265,0.002728727,0.001701667],"genre_scores_gemma":[0.9680122,0.0000432171,0.03100539,0.0001252318,0.00001370325,0.00002500491,0.0000895357,0.00002348978,0.0006621561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002112866,"threshold_uncertainty_score":0.01117402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009746399286851982,"score_gpt":0.2393446040764234,"score_spread":0.2295982047895715,"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."}}