{"id":"W3022241651","doi":"10.46586/tosc.v2020.is1.132-159","title":"WAGE: An Authenticated Encryption with a Twist","year":2020,"lang":"en","type":"article","venue":"IACR Transactions on Symmetric Cryptology","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; University of Waterloo; U.S. Department of Commerce","keywords":"Authenticated encryption; Permutation (music); Encryption; Block cipher; Computer science; Pseudorandom permutation; Differential cryptanalysis; Pseudorandom number generator; Random permutation; Mathematics; Arithmetic; Theoretical computer science; Algorithm; Block (permutation group theory); Computer network; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001608599,0.0002186463,0.0002575078,0.0006682018,0.0003300341,0.0001435396,0.0005814832,0.0001078963,0.0002675439],"category_scores_gemma":[0.00001811284,0.0001949176,0.0001024215,0.004017163,0.0001137815,0.0004866227,0.000009988702,0.0003240011,0.0001030852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004073177,"about_ca_system_score_gemma":0.00007930705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007144574,"about_ca_topic_score_gemma":0.00007017192,"domain_scores_codex":[0.9981393,0.0001620506,0.0003382388,0.0006397886,0.0003279395,0.0003926393],"domain_scores_gemma":[0.998813,0.0001469796,0.0001027337,0.0005149809,0.0001336482,0.0002886014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002132537,0.001199425,0.0006015097,0.00003052117,0.0002054901,0.0000865134,0.007117272,0.0005583318,0.001309287,0.7008654,0.0002052675,0.2876077],"study_design_scores_gemma":[0.02684429,0.03158128,0.06009334,0.0001061418,0.001021066,0.001932451,0.009718067,0.6870108,0.02344295,0.06841861,0.08323034,0.006600713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07325357,0.00002792964,0.9213974,0.004051837,0.0001717025,0.0002746081,0.00001915716,0.0003783858,0.0004253736],"genre_scores_gemma":[0.9371664,0.00001752617,0.06160599,0.001081607,0.00003194869,0.00005924189,0.00001691528,0.00001568179,0.000004686807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8639128,"threshold_uncertainty_score":0.7948508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122177906961792,"score_gpt":0.2675509467316158,"score_spread":0.2363291676619979,"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."}}