{"id":"W4285407588","doi":"10.1109/cwit55308.2022.9817678","title":"Modeling and Energy Analysis of Adversarial Perturbations in Deep Image Classification Security","year":2022,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adversarial system; Computer science; Artificial intelligence; Prime (order theory); Information retrieval; Algorithm; Mathematics; Combinatorics","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":[0.0003811067,0.00006979491,0.0001646494,0.0005055274,0.0001574619,0.00003106911,0.0003650303,0.00002503573,0.00007774907],"category_scores_gemma":[0.00008556873,0.00007558119,0.00005590617,0.001537408,0.00002367658,0.0003443061,0.0004429338,0.0001509219,2.016105e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007691584,"about_ca_system_score_gemma":0.00003897842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043114,"about_ca_topic_score_gemma":0.0003719971,"domain_scores_codex":[0.9989207,0.0001896369,0.0002418005,0.0002899837,0.0002413635,0.0001165591],"domain_scores_gemma":[0.999454,0.000107931,0.00007783894,0.0002828241,0.00004751785,0.00002989095],"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":[0.000005867663,0.00003191021,0.001247274,0.000001622269,0.00004060564,0.000001238253,0.001580893,0.847991,0.000270639,0.1463581,0.000003553178,0.002467245],"study_design_scores_gemma":[0.0001920274,0.00001396107,0.001716543,6.70115e-7,0.00004681315,7.888792e-7,0.0005155919,0.9947101,0.000008710747,0.002668345,0.00004793594,0.00007845588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05679098,0.00002790592,0.9409075,0.0003583879,0.00008221935,0.00002737454,0.000001846839,0.00003947158,0.001764319],"genre_scores_gemma":[0.9688225,0.000005577623,0.03102125,0.00005844311,0.00001290474,0.00001394311,0.00001548464,0.000003676121,0.00004626859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9120315,"threshold_uncertainty_score":0.3082111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282398959831901,"score_gpt":0.2522995901097805,"score_spread":0.2394756005114615,"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."}}