{"id":"W3046426875","doi":"10.1109/dsn-w50199.2020.00012","title":"On The Generation of Unrestricted Adversarial Examples","year":2020,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Adversarial system; Computer science; MNIST database; Artificial intelligence; Classifier (UML); Adversary; Subspace topology; Machine learning; Transferability; Generative grammar; Deep learning; 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":[0.002692965,0.001039812,0.0007700653,0.0005786268,0.0005752619,0.001047265,0.001180434,0.001674398,0.00292327],"category_scores_gemma":[0.01259732,0.0005177172,0.0008152424,0.0002505138,0.003578519,0.002285008,0.003803177,0.003588632,0.0007103102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009710274,"about_ca_system_score_gemma":0.0005408262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005139369,"about_ca_topic_score_gemma":0.0005202075,"domain_scores_codex":[0.9974874,0.00106267,0.00009329206,0.0004006211,0.0007578575,0.00019816],"domain_scores_gemma":[0.9902694,0.007092805,0.0005373395,0.001451242,0.0004583999,0.000190822],"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":[0.0002423182,0.00005479013,0.0008983783,0.0001097521,0.00005198316,0.0003108029,0.000252503,0.7212353,0.01130228,0.2089846,0.002668657,0.0538887],"study_design_scores_gemma":[0.0000154088,0.00006584591,0.0001654042,0.00003994987,0.000009363523,0.0001548302,0.00001878469,0.9177502,0.004916747,0.07462908,0.002216549,0.00001776466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02341177,0.0002504382,0.9673671,0.0006224108,0.00006688113,0.00009109455,0.00005404203,0.0004313592,0.00770489],"genre_scores_gemma":[0.8186241,0.0004254231,0.1708925,0.0007144207,0.00009949459,0.0002732074,0.0002073809,0.0002557396,0.008507789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00292327,"threshold_uncertainty_score":0.01424193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07875363385284133,"score_gpt":0.2581256882771781,"score_spread":0.1793720544243367,"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."}}