{"id":"W4414091836","doi":"10.1145/3766890","title":"FairFLRep: Fairness-Aware Fault Localization and Repair of Deep Neural Networks","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Deep neural networks; Artificial neural network; Quality (philosophy); Baseline (sea); Fault (geology); Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004864591,0.0001596656,0.0002783388,0.0002377747,0.0001340485,0.00002066229,0.00026539,0.0001645588,0.000003729183],"category_scores_gemma":[0.0008923617,0.0001637647,0.0000616811,0.0004356552,0.00006235035,0.0001670045,0.00004650606,0.0003288884,1.800107e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002075712,"about_ca_system_score_gemma":0.0000137322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000337214,"about_ca_topic_score_gemma":0.000006674154,"domain_scores_codex":[0.9988841,0.0002316951,0.0002414207,0.0003618151,0.00008189269,0.0001990707],"domain_scores_gemma":[0.9975901,0.001800618,0.00005590125,0.0004347719,0.00006454182,0.00005413046],"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":[0.00001280818,0.00001093965,0.0007589589,0.00006982659,0.00003832712,0.000002941352,0.0002081983,0.8458337,0.000015353,0.0020369,0.000002637077,0.1510094],"study_design_scores_gemma":[0.0002807956,0.00006809851,0.001841899,0.00003286283,0.00003592654,0.00002081327,0.00004957516,0.9966025,0.0001535063,0.0005452256,0.0002396265,0.0001292101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002345189,0.0003632616,0.9958692,0.0001362403,0.0006920145,0.00009668047,0.000001166484,0.0004922987,0.00000400273],"genre_scores_gemma":[0.483974,0.00004218695,0.5158401,0.00008148124,0.00001565579,0.00001181239,0.000001550956,0.000009393769,0.00002385209],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4816288,"threshold_uncertainty_score":0.667813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717373461444464,"score_gpt":0.2958205789504905,"score_spread":0.2686468443360458,"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."}}