{"id":"W2979871440","doi":"10.1007/s10115-019-01405-7","title":"$${\\textsf {SecDM}}$$: privacy-preserving data outsourcing framework with differential privacy","year":2019,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Manitoba; McGill University","funders":"","keywords":"Computer science; Cloud computing; Homomorphic encryption; Encryption; Differential privacy; Information privacy; Outsourcing; Scalability; Computer security; Service provider; Cryptosystem; Database; Data mining; Service (business); Business","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":[0.002388908,0.0006466447,0.0008833329,0.001025184,0.001695523,0.003900716,0.00307184,0.001357073,0.009276581],"category_scores_gemma":[0.002183534,0.000517807,0.0009339511,0.002472636,0.002569129,0.006538069,0.00725035,0.003797294,0.003249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293825,"about_ca_system_score_gemma":0.003141782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280348,"about_ca_topic_score_gemma":0.002287081,"domain_scores_codex":[0.997267,0.0006421304,0.0001004845,0.0003246205,0.001125931,0.0005398458],"domain_scores_gemma":[0.9989161,0.0001860431,0.00007539415,0.0004941,0.0002107256,0.0001175931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000746729,0.00005860763,0.00007672725,0.0000624556,0.00001096723,0.0001014822,0.0000979606,0.005479913,0.00151983,0.9540306,0.009958215,0.02852871],"study_design_scores_gemma":[0.00004741795,0.00005415228,0.0001352684,0.00004031562,0.00002684204,0.0004804928,0.0001137134,0.1232707,0.006675471,0.8165298,0.05257076,0.00005518533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006145938,0.0003903505,0.9715802,0.002535593,0.0001656213,0.0001287731,0.0004104868,0.001076323,0.01756672],"genre_scores_gemma":[0.5754619,0.001451655,0.3825494,0.001262655,0.0002845728,0.0003643726,0.0008323205,0.0004909066,0.03730223],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009276581,"threshold_uncertainty_score":0.03103322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773065424694377,"score_gpt":0.2496361083536721,"score_spread":0.2319054541067283,"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."}}