{"id":"W2119589135","doi":"10.29012/jpc.v2i2.591","title":"Polynomial-time Attack on Output Perturbation Sanitizers for Real-valued Databases","year":2011,"lang":"en","type":"article","venue":"Journal of Privacy and Confidentiality","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Impossibility; Binary number; Perturbation (astronomy); Adversary; Computer science; Upper and lower bounds; Time complexity; Mathematics; Theoretical computer science; Database; Algorithm; Computer security; Arithmetic; Law","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":[0.008134549,0.001477496,0.002473379,0.001473318,0.001285699,0.003876623,0.003575349,0.002834556,0.001480166],"category_scores_gemma":[0.0311306,0.0006952023,0.001700562,0.002044158,0.004126948,0.01023624,0.006346095,0.005831208,0.0004278382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003480757,"about_ca_system_score_gemma":0.001927884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007653536,"about_ca_topic_score_gemma":0.0004181722,"domain_scores_codex":[0.9887097,0.003552751,0.0009345041,0.001757447,0.003707488,0.001337954],"domain_scores_gemma":[0.9619458,0.02659154,0.0027859,0.006785084,0.001316315,0.0005753248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002550943,0.0003361873,0.004917998,0.001107471,0.0003807696,0.0008632824,0.001181681,0.3728416,0.02348987,0.5038362,0.003898505,0.08459557],"study_design_scores_gemma":[0.00008839664,0.0001989173,0.0006007201,0.00009120761,0.00006202226,0.0005669411,0.00008800132,0.816405,0.01439761,0.1653579,0.00209308,0.00005025131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05287386,0.001271787,0.940089,0.001454425,0.00007267063,0.0001633291,0.0002327918,0.000519388,0.003322733],"genre_scores_gemma":[0.893736,0.001056983,0.102743,0.0004229793,0.0001759604,0.0002049377,0.0002239394,0.00007060518,0.00136555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008134549,"threshold_uncertainty_score":0.04302007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09398168476257879,"score_gpt":0.3095873505484508,"score_spread":0.215605665785872,"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."}}