{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007865934,0.0007468602,0.0005149622,0.0004948647,0.0003264168,0.0007658664,0.0009461931,0.0007390791,0.00125388],"category_scores_gemma":[0.003129741,0.0002931508,0.0004755995,0.0005902129,0.0005181854,0.00188912,0.0007564973,0.001456861,0.0004650042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505355,"about_ca_system_score_gemma":0.0008963981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00839971,"about_ca_topic_score_gemma":0.007537479,"domain_scores_codex":[0.9993581,0.0001051746,0.00005744908,0.0001388653,0.0002117457,0.0001286696],"domain_scores_gemma":[0.9990098,0.0003150881,0.0001509892,0.0002449924,0.0002468228,0.00003212526],"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":[0.0003668572,0.0001672206,0.003246143,0.00009275656,0.000065412,0.0002245211,0.00007880793,0.771158,0.01149274,0.008686418,0.004555995,0.1998651],"study_design_scores_gemma":[0.000003254836,0.00001128942,0.0001450993,0.000002853995,0.000002788255,0.00001086821,0.000006484061,0.9935489,0.00413036,0.001885691,0.0002500071,0.000002390479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3613483,0.001057746,0.6248032,0.001377501,0.0002556314,0.0001268347,0.0007199198,0.004744194,0.005566635],"genre_scores_gemma":[0.9299158,0.0003703423,0.06509781,0.0001788675,0.00005807731,0.00005493,0.0006422926,0.0000678011,0.003614068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00839971,"threshold_uncertainty_score":0.01670164,"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."}}