{"id":"W4383221307","doi":"10.1145/3579856.3582836","title":"FLAIR: Defense against Model Poisoning Attack in Federated Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Laboratory; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Computer science; Intuition; Fluid-attenuated inversion recovery; Robustness (evolution); Artificial intelligence; Reputation; Computer security; Machine learning; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00859221,0.001626075,0.002046227,0.001106707,0.001757898,0.002217033,0.004160231,0.003598872,0.001389881],"category_scores_gemma":[0.02514313,0.000686556,0.001410076,0.0009263358,0.003276463,0.006096013,0.007529963,0.006482527,0.0009432948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728586,"about_ca_system_score_gemma":0.002161257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917501,"about_ca_topic_score_gemma":0.001759381,"domain_scores_codex":[0.9922031,0.002978273,0.0004562371,0.001416738,0.002228136,0.0007175043],"domain_scores_gemma":[0.9798719,0.005723047,0.001451346,0.0106972,0.001637793,0.0006186994],"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":[0.001940483,0.0007209469,0.009015124,0.0003176012,0.0004722663,0.0005804241,0.0007134799,0.6033537,0.01529823,0.0722817,0.02369002,0.271616],"study_design_scores_gemma":[0.00006460922,0.0001792111,0.0002454432,0.00002194745,0.00002106722,0.0001750489,0.00003668276,0.9639363,0.006067682,0.02718715,0.002040305,0.00002457386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0636595,0.0007531493,0.9152415,0.002263695,0.0002021551,0.0002704271,0.0002160478,0.01372412,0.003669368],"genre_scores_gemma":[0.8841358,0.0001566339,0.1111114,0.001407858,0.00007678603,0.0002047637,0.0003442988,0.0003527629,0.002209539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00859221,"threshold_uncertainty_score":0.04544044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315720752551237,"score_gpt":0.2905406076956661,"score_spread":0.2589685324405424,"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."}}