{"id":"W3162883552","doi":"10.1016/j.neucom.2023.02.058","title":"Bounding information leakage in machine learning","year":2023,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"Agence Nationale de la Recherche; European Commission","keywords":"Computer science; Inference; Bounding overwatch; Artificial intelligence; Information leakage; Adversary; Machine learning; Data mining; Theoretical computer science; 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":[0.006358392,0.00177005,0.002061205,0.001576062,0.0007057875,0.003148458,0.001863572,0.002925129,0.002133363],"category_scores_gemma":[0.04176705,0.0007614085,0.0008858037,0.001420501,0.005077993,0.005702586,0.005565188,0.005138731,0.0005307748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137713,"about_ca_system_score_gemma":0.001054949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008492085,"about_ca_topic_score_gemma":0.0004093971,"domain_scores_codex":[0.9954984,0.00223876,0.0001545056,0.000628179,0.001192361,0.0002878729],"domain_scores_gemma":[0.9715255,0.02382054,0.001242557,0.001909361,0.001144919,0.0003570719],"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":[0.0001980963,0.00006092007,0.000567641,0.000323225,0.0001284435,0.0001201065,0.0001053467,0.5824767,0.002810639,0.3617324,0.003836978,0.04763956],"study_design_scores_gemma":[0.000005155024,0.00002332415,0.0001037578,0.00002913276,0.00001287174,0.0000303027,0.000007521159,0.8070816,0.00101847,0.1910947,0.0005819264,0.00001118609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008462739,0.002125666,0.9832659,0.001742662,0.0001523687,0.0000230882,0.00006542794,0.0002799616,0.003882195],"genre_scores_gemma":[0.8853977,0.003548791,0.1018297,0.0009520528,0.0009721904,0.0001540588,0.0001847528,0.0003433986,0.006617329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006358392,"threshold_uncertainty_score":0.03362674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195685705363412,"score_gpt":0.2444443583481433,"score_spread":0.2324875012945092,"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."}}