{"id":"W3101435147","doi":"10.48550/arxiv.2011.09364","title":"Self-Gradient Networks","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adversarial system; Computer science; Artificial neural network; Exploit; Artificial intelligence; Leverage (statistics); Deep learning; Deep neural networks; Network architecture; Vulnerability (computing); Machine 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":[0.000637584,0.000840673,0.000577579,0.0004323153,0.0003549099,0.000787878,0.001202528,0.001164502,0.003467443],"category_scores_gemma":[0.002633171,0.0003768062,0.0005332029,0.0002483662,0.00110923,0.001587715,0.0012528,0.001282147,0.0008447567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008332792,"about_ca_system_score_gemma":0.0005714311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00190401,"about_ca_topic_score_gemma":0.002222109,"domain_scores_codex":[0.9996544,0.00008113184,0.0000169842,0.00008642545,0.0001052593,0.0000558052],"domain_scores_gemma":[0.9993984,0.0002341641,0.00008592031,0.00009306482,0.00014872,0.00003983688],"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":[0.0001454117,0.00005840745,0.001114522,0.0001245915,0.00006748459,0.000135176,0.00007824648,0.8466001,0.007760626,0.054076,0.004709996,0.08512951],"study_design_scores_gemma":[0.000004854139,0.00002903338,0.0001066353,0.000008654099,0.000006366672,0.00003223955,0.000004834565,0.9862339,0.001397227,0.01087886,0.001292189,0.000005169407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04895629,0.001067145,0.9330153,0.0007325922,0.0002225208,0.00009280172,0.0001664882,0.001309576,0.01443722],"genre_scores_gemma":[0.909079,0.0006662335,0.07592107,0.0005839241,0.00008414005,0.0001357834,0.0002839721,0.0001530259,0.01309286],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003467443,"threshold_uncertainty_score":0.01159972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05168721045477298,"score_gpt":0.1859844932189199,"score_spread":0.1342972827641469,"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."}}