{"id":"W4396796193","doi":"10.1016/j.ins.2024.120723","title":"Important-data-based attack design and resilient remote estimation for recurrent neural networks","year":2024,"lang":"en","type":"article","venue":"Information Sciences","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Computer science; Estimation; Artificial neural network; Artificial intelligence; Data mining; Machine learning; Computer security; Engineering","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":[0.001754117,0.001337106,0.0009539029,0.0004493555,0.0003553385,0.0008227509,0.001531395,0.001131727,0.001166131],"category_scores_gemma":[0.005037141,0.0004890533,0.0006473548,0.0003219954,0.001086477,0.001487673,0.001645512,0.001830746,0.0002630625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006649522,"about_ca_system_score_gemma":0.0008485763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192376,"about_ca_topic_score_gemma":0.001778237,"domain_scores_codex":[0.9989334,0.0002995375,0.00007424687,0.0003108131,0.0002721189,0.0001099728],"domain_scores_gemma":[0.9984535,0.0007270802,0.000244085,0.0001478373,0.0003605038,0.00006688777],"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":[0.0002166655,0.00007011355,0.001177832,0.0001876068,0.0001047982,0.00016743,0.0001553202,0.8435674,0.01340337,0.03113752,0.0008054235,0.1090065],"study_design_scores_gemma":[0.000002838094,0.00003117523,0.00005137294,0.000003671337,0.000007845134,0.00001533813,0.000003320708,0.9969407,0.001186099,0.001614583,0.0001378004,0.000005227267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005486891,0.0001284951,0.9937193,0.00005894102,0.00001973119,0.00001754315,0.000009418663,0.0001220179,0.0004376377],"genre_scores_gemma":[0.8657262,0.0003484274,0.1312155,0.0001489345,0.00008318248,0.0001417906,0.0001023123,0.00006022734,0.002173355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00192376,"threshold_uncertainty_score":0.009276807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05309606258327444,"score_gpt":0.3116631855062817,"score_spread":0.2585671229230073,"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."}}