{"id":"W2924179447","doi":"10.1145/3292006.3300044","title":"Deep Neural Networks Classification over Encrypted Data","year":2019,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"MNIST database; Computer science; Convolutional neural network; Encryption; Artificial intelligence; Scalability; Deep learning; Machine learning; Cloud computing; Sigmoid function; Information privacy; Focus (optics); Artificial neural network; Big data; Data mining; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0001940524,0.00008729176,0.00008491697,0.00005429322,0.00005336063,0.0001852825,0.001900999,0.00005626766,0.0002541265],"category_scores_gemma":[0.00001176919,0.00007416061,0.00003029931,0.000430787,0.00002158518,0.001474086,0.0007430998,0.0001227111,0.0001090369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000654419,"about_ca_system_score_gemma":0.000009459931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004105936,"about_ca_topic_score_gemma":0.00004419734,"domain_scores_codex":[0.9989663,0.00004033692,0.0001420491,0.0004798395,0.0001726926,0.0001988221],"domain_scores_gemma":[0.9975478,0.00006850495,0.0000498766,0.002239463,0.00002759125,0.00006676183],"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":[0.000009351236,0.00008560999,0.02313146,0.000006999943,0.00001598598,0.000002672894,0.0001019858,0.0004189654,0.0002510916,0.8983475,0.009490803,0.06813759],"study_design_scores_gemma":[0.0001518355,0.0000163708,0.05323,0.000001364353,0.000002284659,0.000002564058,0.00001072725,0.9389955,0.000007400709,0.001382131,0.006095076,0.0001047845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01263404,0.00009381753,0.9814714,0.000275105,0.0005153172,0.0001286207,0.000005840645,0.0001970289,0.004678813],"genre_scores_gemma":[0.9773968,0.00001455166,0.02166202,0.0006324635,0.00006637117,0.000002192442,0.0002065233,0.000003904572,0.00001511768],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9647628,"threshold_uncertainty_score":0.3532561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187189209935371,"score_gpt":0.264678973521867,"score_spread":0.2328070814225133,"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."}}