{"id":"W2070447327","doi":"10.1109/allerton.2012.6483414","title":"Differentially private Kalman filtering","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Differential privacy; Kalman filter; Computer science; Constraint (computer-aided design); Data mining; Theoretical computer science; Artificial intelligence; Mathematics","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":[0.003761615,0.001152917,0.001758098,0.0008419625,0.00096033,0.002674219,0.002031676,0.002389417,0.004412801],"category_scores_gemma":[0.0143267,0.0006513877,0.001004432,0.00133221,0.002289471,0.003971434,0.00329665,0.002521971,0.001310087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002704391,"about_ca_system_score_gemma":0.00194113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003343503,"about_ca_topic_score_gemma":0.00235251,"domain_scores_codex":[0.9957213,0.001201519,0.0002116321,0.001196324,0.001070664,0.0005984283],"domain_scores_gemma":[0.992019,0.004470981,0.0006651597,0.001935787,0.0007298929,0.0001791842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004540978,0.00007455282,0.00167629,0.0002092545,0.0001357216,0.0002464323,0.0002253244,0.4548336,0.004316252,0.448695,0.004584914,0.08454858],"study_design_scores_gemma":[0.00004419143,0.00006160419,0.0002894036,0.00002229518,0.00002817117,0.0000693185,0.00002288591,0.8691745,0.001851392,0.1241333,0.00427359,0.0000293394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007472774,0.0004363855,0.9851556,0.0004584337,0.0001285237,0.00003956646,0.0002120701,0.0002577702,0.005838804],"genre_scores_gemma":[0.8430547,0.001481651,0.135072,0.0007046195,0.0004850246,0.0002236595,0.000811024,0.00009646062,0.01807086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004412801,"threshold_uncertainty_score":0.01989359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04961019708516059,"score_gpt":0.2812027086112708,"score_spread":0.2315925115261102,"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."}}