{"id":"https://openalex.org/W2054138686","doi":"https://doi.org/10.1145/1774088.1774217","title":"Privacy preserving linear discriminant analysis from perturbed data","display_name":"Privacy preserving linear discriminant analysis from perturbed data","publication_year":2010,"publication_date":"2010-03-22","ids":{"openalex":"https://openalex.org/W2054138686","doi":"https://doi.org/10.1145/1774088.1774217","mag":"2054138686"},"language":"en","primary_location":{"id":"doi:10.1145/1774088.1774217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied Computing","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/A5032266348","display_name":"Somnath Chakrabarti","orcid":"https://orcid.org/0000-0001-7625-4814"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Somnath Chakrabarti","raw_affiliation_strings":["University of Maryland, Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore, MD","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438515","display_name":"Zhiyuan Chen","orcid":"https://orcid.org/0000-0002-6984-7248"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyuan Chen","raw_affiliation_strings":["University of Maryland, Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore, MD","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051208435","display_name":"Aryya Gangopadhyay","orcid":"https://orcid.org/0000-0002-7553-7932"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aryya Gangopadhyay","raw_affiliation_strings":["University of Maryland, Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore, MD","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011855684","display_name":"Shibnath Mukherjee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shibnath Mukherjee","raw_affiliation_strings":["Yahoo! Research and Development, India and University of Maryland, Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research and Development, India and University of Maryland, Baltimore, MD","institution_ids":["https://openalex.org/I126744593","https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032266348"],"corresponding_institution_ids":["https://openalex.org/I126744593"],"apc_list":null,"apc_paid":null,"fwci":0.451,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72736492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"610","last_page":"615"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9955000281333923,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9912999868392944,"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/perturbation","display_name":"Perturbation (astronomy)","score":0.761443555355072},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6975592374801636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5934049487113953},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.5545244216918945},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5318201780319214},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.46590954065322876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3186253309249878},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2493751347064972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18266502022743225},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12413522601127625}],"concepts":[{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.761443555355072},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6975592374801636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5934049487113953},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.5545244216918945},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5318201780319214},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.46590954065322876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3186253309249878},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2493751347064972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18266502022743225},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12413522601127625},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1774088.1774217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7971259423","display_name":null,"funder_award_id":"IIS-0713345","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1548445892","https://openalex.org/W1999602050","https://openalex.org/W2001619934","https://openalex.org/W2022079499","https://openalex.org/W2029712629","https://openalex.org/W2072184377","https://openalex.org/W2084812512","https://openalex.org/W2091095338","https://openalex.org/W2119047901","https://openalex.org/W2128906841","https://openalex.org/W2129476886","https://openalex.org/W2130099852","https://openalex.org/W2135933483","https://openalex.org/W2164341199","https://openalex.org/W2170908348","https://openalex.org/W2490800645","https://openalex.org/W4248358572"],"related_works":["https://openalex.org/W4402452563","https://openalex.org/W2250488071","https://openalex.org/W2356150353","https://openalex.org/W2018643641","https://openalex.org/W2380744779","https://openalex.org/W2967867994","https://openalex.org/W2469878540","https://openalex.org/W1999647744","https://openalex.org/W2765337000","https://openalex.org/W2113454941"],"abstract_inverted_index":{"The":[0,88],"ubiquity":[1],"of":[2,30,45,58,74,103,137,162],"the":[3,28,43,56,66,72,101,120,134,147,151],"internet":[4],"not":[5],"only":[6],"makes":[7],"it":[8],"very":[9],"convenient":[10],"for":[11,18,77,97,130],"individuals":[12],"or":[13,21,61],"organizations":[14],"to":[15,41],"share":[16],"data":[17,19,47,59,80,99,132],"mining":[20,60,81],"statistical":[22,62],"analysis,":[23],"but":[24],"also":[25],"greatly":[26],"increases":[27],"chance":[29],"privacy":[31,44],"breach.":[32],"There":[33],"exist":[34],"many":[35],"techniques":[36],"such":[37,46],"as":[38],"random":[39,75],"perturbation":[40,50,76,104,121,138,148],"protect":[42],"sets.":[48],"However,":[49],"often":[51],"has":[52],"negative":[53,135],"impacts":[54],"on":[55],"quality":[57,110],"analysis":[63,83],"conducted":[64],"over":[65],"perturbed":[67,117,152],"data.":[68,153],"This":[69],"paper":[70],"studies":[71],"impact":[73,102,136],"a":[78],"popular":[79],"and":[82,159],"method:":[84],"linear":[85],"discriminant":[86],"analysis.":[87],"contributions":[89],"are":[90],"two":[91],"fold.":[92],"First,":[93],"we":[94,127],"discover":[95,128],"that":[96,129],"large":[98],"sets,":[100,133],"is":[105],"quite":[106],"limited":[107],"(i.e.,":[108],"high":[109],"results":[111],"may":[112],"be":[113,140],"obtained":[114],"directly":[115],"from":[116],"data)":[118],"if":[119],"process":[122],"satisfies":[123],"certain":[124],"conditions.":[125],"Second,":[126],"small":[131],"can":[139],"reduced":[141],"by":[142],"publishing":[143],"additional":[144],"statistics":[145],"about":[146],"along":[149],"with":[150],"We":[154],"provide":[155],"both":[156],"theoretical":[157],"derivations":[158],"experimental":[160],"verifications":[161],"these":[163],"results.":[164]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}