{"id":"W2778289287","doi":"","title":"VTG - Vulnerability Test Generator, a Plug-in for Rodin","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Plug-in; Vulnerability (computing); Generator (circuit theory); Computer science; Test (biology); Spark plug; Computer security; Engineering; Physics; Geology; Operating system; Mechanical 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":[0.002233292,0.003168948,0.001300933,0.002024841,0.0004015415,0.001558259,0.003780713,0.001937426,0.05249592],"category_scores_gemma":[0.009126957,0.001334604,0.001234965,0.0006060353,0.0009333752,0.003175078,0.002746401,0.002078884,0.01819314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008102445,"about_ca_system_score_gemma":0.0008889418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028728,"about_ca_topic_score_gemma":0.001082411,"domain_scores_codex":[0.9983898,0.0003650589,0.0001220095,0.0004381263,0.0004659433,0.0002190321],"domain_scores_gemma":[0.9954817,0.001971302,0.0002657477,0.001513798,0.0004660772,0.0003014712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006567264,0.001126106,0.01618235,0.001965386,0.000634681,0.00295714,0.0006724795,0.04317241,0.04998016,0.01523198,0.4602522,0.4012578],"study_design_scores_gemma":[0.002114483,0.001331846,0.006956493,0.0004277184,0.0002342124,0.003252055,0.0001826535,0.5966015,0.1979693,0.02866634,0.1618144,0.0004490087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01828475,0.0003513545,0.1965293,0.0003603386,0.0003995734,0.0005172487,0.005055364,0.7696434,0.00885868],"genre_scores_gemma":[0.5684686,0.000623895,0.1619869,0.00208115,0.0002842692,0.001489548,0.02653428,0.197234,0.04129732],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05249592,"threshold_uncertainty_score":0.1756164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098789055237157,"score_gpt":0.2624652259792398,"score_spread":0.2414773354268683,"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."}}