{"id":"W3173549438","doi":"10.1145/3448016.3452756","title":"DPGraph: A Benchmark Platform for Differentially Private Graph Analysis","year":2021,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Differential privacy; Computer science; Scalability; Graph; Theoretical computer science; Benchmark (surveying); Power graph analysis; Information privacy; Data science; Data mining; Computer security; 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":[0.004103519,0.00152748,0.001063372,0.003580758,0.001649029,0.00304693,0.004405635,0.00272224,0.009381465],"category_scores_gemma":[0.02286806,0.0007488489,0.001435739,0.005489124,0.001782009,0.005945137,0.003794486,0.003328138,0.004622944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505287,"about_ca_system_score_gemma":0.003223103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005247937,"about_ca_topic_score_gemma":0.006339435,"domain_scores_codex":[0.9948055,0.001398842,0.0002622175,0.0008882946,0.002157641,0.00048747],"domain_scores_gemma":[0.9881969,0.004967483,0.0005740021,0.00478663,0.001051037,0.00042387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001942623,0.0009777052,0.005529408,0.002899792,0.0005215483,0.0005956978,0.0004358829,0.1951036,0.0125225,0.2243727,0.3862978,0.1688008],"study_design_scores_gemma":[0.0005497229,0.0003970852,0.001930068,0.0002847771,0.0001109094,0.0006714551,0.000264123,0.5272717,0.01806421,0.2888029,0.1615488,0.000104205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09960391,0.01000184,0.5544652,0.009627559,0.001698363,0.001778765,0.09019706,0.142842,0.08978535],"genre_scores_gemma":[0.4255409,0.005628195,0.4356802,0.002444673,0.0003358448,0.001494512,0.103724,0.01100861,0.01414309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009381465,"threshold_uncertainty_score":0.03138417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901919852488327,"score_gpt":0.2687081748889391,"score_spread":0.2396889763640558,"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."}}