{"id":"W4400600681","doi":"10.4230/lipics.itcs.2025.19","title":"Differential Privacy and Sublinear Time Are Incompatible Sometimes","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sublinear function; Differential privacy; Internet privacy; Computer science; Differential (mechanical device); Computer security; Mathematics; Algorithm; Discrete mathematics; Physics","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":[0.0146762,0.001513476,0.002782786,0.00131038,0.002335169,0.01042891,0.004506681,0.004551223,0.00729992],"category_scores_gemma":[0.06977727,0.001355189,0.002385276,0.003035308,0.01202741,0.03157002,0.009886653,0.01842276,0.00237864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00554043,"about_ca_system_score_gemma":0.004111932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007074316,"about_ca_topic_score_gemma":0.0005692078,"domain_scores_codex":[0.97232,0.008049261,0.001486905,0.0076418,0.00773484,0.002767211],"domain_scores_gemma":[0.8740982,0.08660961,0.004265953,0.02794832,0.004515589,0.00256226],"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":[0.0004647144,0.00008637572,0.0006845092,0.0002159452,0.00005562165,0.00006195725,0.0003052453,0.009546061,0.00141775,0.9660661,0.004166108,0.01692958],"study_design_scores_gemma":[0.00003934031,0.0000343385,0.0001311555,0.00002786423,0.00001734693,0.00009399946,0.00005801381,0.02800609,0.001715433,0.9648287,0.005034021,0.0000136785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03786601,0.003231676,0.8957766,0.03182829,0.0005428733,0.0001226998,0.0008604289,0.001149934,0.02862148],"genre_scores_gemma":[0.6822986,0.003993526,0.2814879,0.01093743,0.001830487,0.0008810281,0.001051798,0.001423738,0.01609551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0146762,"threshold_uncertainty_score":0.0776161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05951652737688658,"score_gpt":0.2041588096303547,"score_spread":0.1446422822534681,"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."}}