{"id":"https://openalex.org/W2603823019","doi":"https://doi.org/10.1109/bigcomp.2017.7881736","title":"A noise parameter configuration technique to mitigate detour inference attack on differential privacy","display_name":"A noise parameter configuration technique to mitigate detour inference attack on differential privacy","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2603823019","doi":"https://doi.org/10.1109/bigcomp.2017.7881736","mag":"2603823019"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2017.7881736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2017.7881736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"},"type":"article","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/A5033054154","display_name":"T.S. Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Taebo Jung","raw_affiliation_strings":["Dept. of Computer Engineering, Sogang University Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Sogang University Seoul, Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076006367","display_name":"Kangsoo Jung","orcid":"https://orcid.org/0000-0003-2070-1050"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kangsoo Jung","raw_affiliation_strings":["Dept. of Computer Engineering, Sogang University Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Sogang University Seoul, Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108044797","display_name":"Sehwa Park","orcid":"https://orcid.org/0000-0003-4885-8949"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sehwa Park","raw_affiliation_strings":["Dept. of Computer Engineering, Sogang University Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Sogang University Seoul, Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090186230","display_name":"Seog Park","orcid":"https://orcid.org/0000-0002-4049-7950"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seog Park","raw_affiliation_strings":["Dept. of Computer Engineering, Sogang University Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Sogang University Seoul, Korea","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033054154"],"corresponding_institution_ids":["https://openalex.org/I148751991"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68677244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":null,"first_page":"186","last_page":"192"},"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":0.9958999752998352,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9902999997138977,"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/differential-privacy","display_name":"Differential privacy","score":0.9598703384399414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827039957046509},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6161818504333496},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.5797935724258423},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.572235643863678},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.5564285516738892},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.5504239797592163},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.524713397026062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5210441946983337},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5039212107658386},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.4964967370033264},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.4677448570728302},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4466549754142761},{"id":"https://openalex.org/keywords/data-correlation","display_name":"Data correlation","score":0.4219599962234497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16125673055648804}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9598703384399414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827039957046509},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6161818504333496},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.5797935724258423},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.572235643863678},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.5564285516738892},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.5504239797592163},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.524713397026062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5210441946983337},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5039212107658386},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.4964967370033264},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.4677448570728302},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4466549754142761},{"id":"https://openalex.org/C2985953642","wikidata":"https://www.wikidata.org/wiki/Q186290","display_name":"Data correlation","level":2,"score":0.4219599962234497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16125673055648804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2017.7881736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2017.7881736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W77869065","https://openalex.org/W192814132","https://openalex.org/W1873763122","https://openalex.org/W2076675165","https://openalex.org/W2085472312","https://openalex.org/W2091815328","https://openalex.org/W2122290076","https://openalex.org/W2911978475"],"related_works":["https://openalex.org/W4296973715","https://openalex.org/W2019704260","https://openalex.org/W4315488958","https://openalex.org/W3093310219","https://openalex.org/W3176515490","https://openalex.org/W3185918024","https://openalex.org/W4387193529","https://openalex.org/W2900631219","https://openalex.org/W2795052735","https://openalex.org/W2603823019"],"abstract_inverted_index":{"Nowadays,":[0],"data":[1,19,30,87,175],"has":[2],"become":[3],"more":[4],"important":[5],"as":[6,26],"the":[7,11,16,22,41,45,58,67,89,102,105,112,134,145,149,159],"core":[8],"resource":[9],"for":[10,65],"information":[12,50,56,85],"society.":[13],"However,":[14,72],"with":[15],"development":[17],"of":[18,28,95,151,174],"analysis":[20],"techniques,":[21],"privacy":[23,39,68,91,114,129,154,168],"violation":[24],"such":[25],"leakage":[27],"sensitive":[29,84],"and":[31,126,156,170],"personal":[32],"identification":[33],"exposure":[34],"are":[35,120],"also":[36],"increasing.":[37],"Differential":[38],"is":[40,62,78,92,99],"technique":[42,131],"to":[43,82,100,139],"satisfy":[44],"requirement":[46],"that":[47,76,132,158],"any":[48],"additional":[49],"should":[51],"not":[52,121],"be":[53],"disclosed":[54],"except":[55],"from":[57,69,86],"database":[59],"itself.":[60],"It":[61],"well":[63],"known":[64],"protecting":[66],"arbitrary":[70],"attack.":[71],"recent":[73],"research":[74],"argues":[75],"there":[77],"a":[79,128,166],"several":[80],"ways":[81],"infer":[83],"although":[88],"differential":[90,135,153],"applied.":[93],"One":[94],"this":[96,108,141],"inference":[97],"method":[98,155,164],"use":[101],"correlation":[103,118],"between":[104],"data.":[106],"In":[107,144],"paper,":[109],"we":[110,147],"investigate":[111],"new":[113,142],"threats":[115],"using":[116],"attribute":[117],"which":[119],"covered":[122],"by":[123],"traditional":[124,152],"studies":[125],"propose":[127],"preserving":[130],"configures":[133],"privacy's":[136],"noise":[137,161],"parameter":[138,162],"solve":[140],"threat.":[143],"experiment,":[146],"show":[148],"weaknesses":[150],"validate":[157],"proposed":[160],"configuration":[163],"provide":[165],"sufficient":[167],"protection":[169],"maintain":[171],"an":[172],"accuracy":[173],"utility.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
