{"id":"W4379113115","doi":"10.1145/3584372.3588665","title":"Differentially Private Data Release over Multiple Tables","year":2023,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Joins; Computer science; Join (topology); Table (database); Parameterized complexity; Partition (number theory); Set (abstract data type); Logarithm; Data mining; Theoretical computer science; Relational database; Information retrieval; Database; Algorithm; Mathematics","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":[0.01203408,0.0009176474,0.001985388,0.0006844358,0.001341905,0.003142791,0.002856042,0.002440199,0.001982258],"category_scores_gemma":[0.05268046,0.0006554401,0.001545144,0.002033121,0.002835806,0.007737325,0.004109434,0.002709298,0.0004416872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002265294,"about_ca_system_score_gemma":0.001901442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202047,"about_ca_topic_score_gemma":0.0007374103,"domain_scores_codex":[0.9847845,0.006253703,0.0007982673,0.002539782,0.004107792,0.001515944],"domain_scores_gemma":[0.9402897,0.03972034,0.003437998,0.01314127,0.002064438,0.001346236],"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":[0.003603255,0.0007635985,0.01030606,0.0004444464,0.0003062462,0.001121701,0.001382222,0.7820767,0.04541779,0.08240072,0.005612228,0.06656501],"study_design_scores_gemma":[0.0001747808,0.0003233189,0.0008545853,0.00001240528,0.00003518093,0.0004389735,0.0002498319,0.9393284,0.020015,0.03666493,0.001867994,0.00003446265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5080282,0.0007233289,0.4810825,0.002325856,0.0001118399,0.0004060231,0.001389107,0.00194289,0.003990164],"genre_scores_gemma":[0.9368265,0.0001456885,0.06053547,0.0003195428,0.00006658264,0.000174351,0.0007759689,0.0001312387,0.001024617],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01203408,"threshold_uncertainty_score":0.0636431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06492363193887837,"score_gpt":0.2936852680077458,"score_spread":0.2287616360688674,"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."}}