{"id":"W3157361525","doi":"","title":"Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks.","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Inference; Image (mathematics); Artificial intelligence; Adversary; Translation (biology); Image translation; Task (project management); Generative model; Machine learning; Generative grammar; Natural language processing; Information retrieval; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004121907,0.0007476551,0.0007428516,0.0002506921,0.000498797,0.0006978202,0.001202848,0.0006530241,0.0000494166],"category_scores_gemma":[0.00003763943,0.0008961367,0.000554452,0.0007544301,0.0001917945,0.001998711,0.0009110924,0.001042431,0.00002912997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004842918,"about_ca_system_score_gemma":0.0004198304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435674,"about_ca_topic_score_gemma":0.0003814239,"domain_scores_codex":[0.9956517,0.0006742563,0.0005398695,0.002149222,0.0002538568,0.0007311266],"domain_scores_gemma":[0.9969915,0.000181683,0.0005703851,0.001411224,0.0005029677,0.0003422121],"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":[0.00007880614,0.0001367498,0.0001072877,0.00003143547,0.0002143712,0.0004135196,0.0003603272,0.9879938,0.001217441,0.002605637,0.0009615445,0.005879046],"study_design_scores_gemma":[0.0009543325,0.00005317265,0.0001926679,0.0001151353,0.0001799715,0.00000750427,0.0000775972,0.9943371,0.001483625,0.001443772,0.0002910292,0.0008640227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01854298,0.00025947,0.9751443,0.0002142279,0.001874691,0.000622636,0.00006822565,0.000295083,0.00297834],"genre_scores_gemma":[0.9519841,0.0007582785,0.04514069,0.0001949183,0.0006366568,0.000006495457,0.0003414242,0.00005451583,0.0008829187],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9334411,"threshold_uncertainty_score":0.9993489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06481233346821734,"score_gpt":0.2144367169414865,"score_spread":0.1496243834732692,"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."}}