{"id":"W2138735518","doi":"10.1109/asonam.2011.105","title":"Social Network Privacy for Attribute Disclosure Attacks","year":2011,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Social network (sociolinguistics); Neighbourhood (mathematics); Computer security; Internet privacy; Graph; Computer network; Social media; Theoretical computer science; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0004294341,0.0001735507,0.0002034596,0.00004930982,0.0002946966,0.0001077853,0.03075024,0.0001757491,0.00004175673],"category_scores_gemma":[0.003122158,0.0001487913,0.0001064201,0.0004226307,0.00009879717,0.0006765568,0.06997389,0.0001787322,0.00006045154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004293123,"about_ca_system_score_gemma":0.00004606778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001602703,"about_ca_topic_score_gemma":0.000009548628,"domain_scores_codex":[0.9983669,0.00003378741,0.0002440238,0.0005364154,0.0002008805,0.0006179858],"domain_scores_gemma":[0.9943134,0.0001167575,0.0001044861,0.005325985,0.00008197608,0.00005741177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000590676,0.00003661315,0.003834178,0.000009315146,0.00002498183,0.000003481666,0.0001090018,5.444555e-7,0.00001271558,0.0786724,0.9079523,0.009338574],"study_design_scores_gemma":[0.0004112961,0.0001050791,0.00901952,0.00001191078,0.00001071848,0.000005722565,0.00001491381,0.01179179,0.001407912,0.9210118,0.05585303,0.0003562789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002666866,0.00005690266,0.9677415,0.02328055,0.0004657088,0.000353913,0.00001919902,0.001703555,0.003711776],"genre_scores_gemma":[0.2090891,0.000009502039,0.7898641,0.000375444,0.0002469769,0.00007394628,0.00001676004,0.0000167741,0.0003074738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8520992,"threshold_uncertainty_score":0.9744939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09670843344819749,"score_gpt":0.3095489223149939,"score_spread":0.2128404888667964,"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."}}