{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051281,0.0005055616,0.0003711115,0.0004867034,0.0007554826,0.00152299,0.0008970257,0.0005953483,0.00344432],"category_scores_gemma":[0.00321186,0.0002593221,0.0007548609,0.0004145022,0.001423663,0.002937601,0.002214507,0.00115025,0.0007820216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328376,"about_ca_system_score_gemma":0.001967642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811314,"about_ca_topic_score_gemma":0.001678977,"domain_scores_codex":[0.9986545,0.000206777,0.0001612136,0.0002651279,0.0004908545,0.0002215694],"domain_scores_gemma":[0.9977466,0.0005341677,0.0002441477,0.001000192,0.0003832782,0.00009158481],"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":[0.001900137,0.0004873528,0.006470071,0.0002723704,0.0001175597,0.0007916055,0.0008265181,0.2385181,0.1608195,0.328093,0.009929415,0.2517744],"study_design_scores_gemma":[0.00007635703,0.0001593995,0.0004971735,0.00003256111,0.00003179794,0.0001529981,0.00004304211,0.7735651,0.1436791,0.07159077,0.01012665,0.00004511751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07828128,0.00007668282,0.9082947,0.0003371394,0.0001053947,0.0001789042,0.0001454939,0.005186033,0.007394374],"genre_scores_gemma":[0.870737,0.00007191033,0.1242284,0.0001507,0.00003419043,0.0001634855,0.000173974,0.000221233,0.00421912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00344432,"threshold_uncertainty_score":0.01152235,"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."}}