乐胖代购免代理版

{"id":"https://openalex.org/W2003484262","doi":"https://doi.org/10.1109/spw.2013.25","title":"Preventive Inference Control in Data-centric Business Models","display_name":"Preventive Inference Control in Data-centric Business Models","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2003484262","doi":"https://doi.org/10.1109/spw.2013.25","mag":"2003484262"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/spw.2013.25","pdf_url":"https://ieeexplore.ieee.org/ielx7/6564486/6565207/06565225.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6564486/6565207/06565225.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013704088","display_name":"Rafael Accorsi","orcid":"https://orcid.org/0000-0001-5620-561X"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafael Accorsi","raw_affiliation_strings":[" University of Freiburg, Freiburg, Germany"],"affiliations":[{"raw_affiliation_string":" University of Freiburg, Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075364640","display_name":"G\u00fcnter M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gunter Muller","raw_affiliation_strings":[" University of Freiburg, Freiburg, Germany"],"affiliations":[{"raw_affiliation_string":" University of Freiburg, Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.919,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":7,"citation_normalized_percentile":{"value":0.772387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":"27","issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11045","display_name":"Internet Users' Information Privacy Concerns","score":0.9997,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11045","display_name":"Internet Users' Information Privacy Concerns","score":0.9997,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Techniques for Data Analysis and Machine Learning","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10927","display_name":"Trust and Reputation Systems in Online Environments","score":0.9973,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/access-control","display_name":"Access Control","score":0.526302},{"id":"https://openalex.org/keywords/membership-inference-attacks","display_name":"Membership Inference Attacks","score":0.508541}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8469695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516587},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.67799723},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6496661},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5531753},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5367718},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5130266},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49449277},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.43997458},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43128452},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.41709018},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37640107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3335946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33144215},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14386585},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08197445},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/spw.2013.25","pdf_url":"https://ieeexplore.ieee.org/ielx7/6564486/6565207/06565225.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/spw.2013.25","pdf_url":"https://ieeexplore.ieee.org/ielx7/6564486/6565207/06565225.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.62,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1511999023","https://openalex.org/W1779211032","https://openalex.org/W2011910480","https://openalex.org/W2028907859","https://openalex.org/W2029008572","https://openalex.org/W2032238085","https://openalex.org/W2044412042","https://openalex.org/W2056809768","https://openalex.org/W2062897452","https://openalex.org/W2081312903","https://openalex.org/W2083021308","https://openalex.org/W2100738443","https://openalex.org/W2106424312","https://openalex.org/W2113341218","https://openalex.org/W2152706599","https://openalex.org/W2161486814","https://openalex.org/W2162643100","https://openalex.org/W2165464232","https://openalex.org/W3124506898","https://openalex.org/W4254439359","https://openalex.org/W4298115758","https://openalex.org/W85460480"],"related_works":["https://openalex.org/W62490179","https://openalex.org/W5922282","https://openalex.org/W563589758","https://openalex.org/W4388311650","https://openalex.org/W4245343541","https://openalex.org/W2954004777","https://openalex.org/W2951102138","https://openalex.org/W2386077341","https://openalex.org/W1974056099","https://openalex.org/W1568403290"],"abstract_inverted_index":{"Inference":[0],"control":[1],"is":[2,20],"a":[3,58,74,85],"modern":[4],"topic":[5],"in":[6,11],"data":[7],"usage":[8],"management,":[9],"especially":[10],"the":[12,33,45,70,80,92],"context":[13],"of":[14,37,72],"data-centric":[15],"business":[16],"models.":[17],"However,":[18],"it":[19,43,50,55,67,82],"generally":[21],"not":[22],"well":[23,77],"understood":[24],"how":[25],"protection":[26,52],"mechanisms":[27],"could":[28],"be":[29],"designed":[30],"to":[31,51,61,97,108],"protect":[32],"users.":[34],"The":[35],"contributions":[36],"this":[38],"paper":[39],"are":[40],"threefold:":[41],"firstly,":[42],"describes":[44],"inference":[46,64],"problem":[47],"and":[48],"relate":[49],"mechanisms;":[53],"secondly,":[54],"reports":[56],"on":[57,69,79,84],"simple":[59],"mechanism":[60],"provide":[62],"a-priori":[63],"protection;":[65],"thirdly,":[66],"discusses":[68],"drawbacks":[71],"such":[73],"mechanism,":[75],"as":[76,78],"acceptance":[81],"had":[83],"preliminary,":[86],"controlled":[87],"field":[88],"study.":[89],"In":[90],"particular,":[91],"study":[93],"shows":[94],"that,":[95],"contrary":[96],"our":[98],"expectations,":[99],"participants":[100],"prefer":[101],"an":[102],"a-posteriori":[103],"approach":[104],"based":[105],"upon":[106],"audits":[107],"detect":[109],"whether":[110],"inferences":[111],"happened.":[112]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2003484262","counts_by_year":[{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2024-11-26T19:28:47.284298","created_date":"2016-06-24"}