{"id":"W2762867759","doi":"10.1145/3513005","title":"Computation on Encrypted Data Using Dataflow Authentication","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Privacy and Security","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encryption; Dataflow; Compiler; Cloud computing; Homomorphic encryption; Cryptography; Bytecode; Ciphertext; Computer network; Operating system; Computer security; Java","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005770489,0.0001350729,0.000124839,0.0001746661,0.001311086,0.0001625153,0.001829644,0.00004176951,0.00005705416],"category_scores_gemma":[0.00006806646,0.0001552436,0.00003325443,0.0005120457,0.00004417521,0.0006634478,0.0002711985,0.0004068448,0.00001051973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007571303,"about_ca_system_score_gemma":0.00006858184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004742198,"about_ca_topic_score_gemma":0.00000257213,"domain_scores_codex":[0.9982736,0.0002468197,0.0002656395,0.0006559297,0.0003703225,0.0001876777],"domain_scores_gemma":[0.9976565,0.0003195149,0.0001157921,0.001789562,0.00004337545,0.00007520584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003628381,0.005282708,0.0003888913,0.000223801,0.0003382678,0.00003943804,0.04776356,0.0802488,0.00333444,0.1869497,0.001950218,0.6731173],"study_design_scores_gemma":[0.0004054724,0.0001157545,0.0005286771,0.00001335292,0.00001901291,0.00003366933,0.0001738082,0.9693391,0.0004142007,0.02370302,0.005050175,0.0002036949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1382125,0.00003740941,0.8589627,0.001803561,0.0004631063,0.0001989423,0.00009033483,0.0001711387,0.00006024066],"genre_scores_gemma":[0.9645699,0.00002037999,0.03476148,0.0004739286,0.00003016883,0.00001351116,0.0001147485,0.000008264553,0.000007587935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8890904,"threshold_uncertainty_score":0.9999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088790691157661,"score_gpt":0.330036887447403,"score_spread":0.2211578183316369,"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."}}