{"id":"https://openalex.org/W2166270001","doi":"https://doi.org/10.1109/icde.2008.4497453","title":"Injector: Mining Background Knowledge for Data Anonymization","display_name":"Injector: Mining Background Knowledge for Data Anonymization","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2166270001","doi":"https://doi.org/10.1109/icde.2008.4497453","mag":"2166270001"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2008.4497453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100728697","display_name":"Tiancheng Li","orcid":"https://orcid.org/0000-0002-0499-5135"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tiancheng Li","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101471208","display_name":"Ninghui Li","orcid":"https://orcid.org/0000-0001-8207-9717"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ninghui Li","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":8.0576,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.9836967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"446","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9979000091552734,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8026233911514282},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.7715002298355103},{"id":"https://openalex.org/keywords/data-publishing","display_name":"Data publishing","score":0.7679321765899658},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.566908061504364},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5604962706565857},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5100305676460266},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.4927540123462677},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.4728962182998657},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41405409574508667},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.35212844610214233},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29936856031417847},{"id":"https://openalex.org/keywords/publishing","display_name":"Publishing","score":0.20571380853652954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026233911514282},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.7715002298355103},{"id":"https://openalex.org/C2781396290","wikidata":"https://www.wikidata.org/wiki/Q17051824","display_name":"Data publishing","level":3,"score":0.7679321765899658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.566908061504364},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5604962706565857},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5100305676460266},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.4927540123462677},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.4728962182998657},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41405409574508667},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.35212844610214233},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29936856031417847},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.20571380853652954},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icde.2008.4497453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.4324","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.4324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cerias.purdue.edu/ssl/techreports-ssl/2008-29.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.6987","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.6987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cerias.purdue.edu/ssl/techreports-ssl/2008-29-report.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.4133","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.4133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.cs.purdue.edu/homes/ninghui/papers/injector_icde08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W56293434","https://openalex.org/W73629738","https://openalex.org/W1484413656","https://openalex.org/W1495553750","https://openalex.org/W1520890006","https://openalex.org/W1578959085","https://openalex.org/W1606251440","https://openalex.org/W1647965853","https://openalex.org/W1892399053","https://openalex.org/W1973036367","https://openalex.org/W1979005794","https://openalex.org/W2000473687","https://openalex.org/W2009331946","https://openalex.org/W2036959577","https://openalex.org/W2037965136","https://openalex.org/W2040158750","https://openalex.org/W2064853889","https://openalex.org/W2071776923","https://openalex.org/W2099907571","https://openalex.org/W2107927452","https://openalex.org/W2119047901","https://openalex.org/W2119067110","https://openalex.org/W2120263102","https://openalex.org/W2120582309","https://openalex.org/W2134167315","https://openalex.org/W2134479759","https://openalex.org/W2135581534","https://openalex.org/W2136114025","https://openalex.org/W2148299270","https://openalex.org/W2149234475","https://openalex.org/W2159024459","https://openalex.org/W2161030490","https://openalex.org/W2161229593","https://openalex.org/W2166065644","https://openalex.org/W2166559705","https://openalex.org/W2166658587","https://openalex.org/W2210278139","https://openalex.org/W2408457100","https://openalex.org/W2752885492","https://openalex.org/W2997167919","https://openalex.org/W4236384052","https://openalex.org/W4252403066","https://openalex.org/W6602294163","https://openalex.org/W6628750762","https://openalex.org/W6634775095","https://openalex.org/W6636171097","https://openalex.org/W6675831477","https://openalex.org/W6683737394","https://openalex.org/W7007803929"],"related_works":["https://openalex.org/W2031844830","https://openalex.org/W3013987925","https://openalex.org/W2741549564","https://openalex.org/W2800037024","https://openalex.org/W2898931495","https://openalex.org/W3130430154","https://openalex.org/W2978783953","https://openalex.org/W2086584178","https://openalex.org/W2777883117","https://openalex.org/W4387005985"],"abstract_inverted_index":{"Existing":[0],"work":[1],"on":[2],"privacy-preserving":[3],"data":[4,48,86,96,144,153,194],"publishing":[5],"cannot":[6],"satisfactorily":[7],"prevent":[8],"an":[9,167],"adversary":[10],"with":[11,36],"background":[12,27,60,77,126,178,189],"knowledge":[13,45,61,78,127,190],"from":[14,46,151],"learning":[15],"important":[16],"sensitive":[17],"information.":[18],"The":[19,66],"main":[20],"challenge":[21],"lies":[22],"in":[23,84,134,160],"modeling":[24],"the":[25,47,55,59,64,85,118,132,135,140,152,161,173],"adversary's":[26],"knowledge.":[28,179],"We":[29,137,164],"propose":[30],"a":[31],"novel":[32],"approach":[33,70,104],"to":[34,49,92,154,171],"deal":[35],"such":[37],"attacks.":[38],"In":[39],"this":[40],"approach,":[41],"one":[42,107],"first":[43],"mines":[44,147],"be":[50,90,155],"released":[51,156],"and":[52,87,115,129,157],"then":[53,138],"uses":[54,158],"mining":[56,97],"results":[57,181],"as":[58,121],"when":[62],"anonymizing":[63],"data.":[65,136],"rationale":[67],"of":[68,102],"our":[69,103],"is":[71,105],"that":[72,106,110,176,183],"if":[73],"certain":[74],"facts":[75],"or":[76],"exist,":[79],"they":[80],"should":[81,89],"manifest":[82],"themselves":[83],"we":[88],"able":[91],"find":[93],"them":[94,159],"using":[95],"techniques.":[98],"One":[99],"intriguing":[100],"aspect":[101],"can":[108],"argue":[109],"it":[111,122],"improves":[112],"both":[113,123],"privacy":[114,186],"utility":[116],"at":[117],"same":[119],"time,":[120],"protects":[124],"against":[125,188],"attacks":[128,191],"better":[130],"preserves":[131],"features":[133],"present":[139],"Injector":[141,146,184],"framework":[142],"for":[143],"anonymization.":[145],"negative":[148],"association":[149],"rules":[150],"anonymization":[162,169],"process.":[163],"also":[165],"develop":[166],"efficient":[168],"algorithm":[170],"compute":[172],"injected":[174],"tables":[175],"incorporates":[177],"Experimental":[180],"show":[182],"reduces":[185],"risks":[187],"while":[192],"improving":[193],"utility.":[195]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
