{"id":"https://openalex.org/W2911915417","doi":"https://doi.org/10.1109/tifs.2019.2897874","title":"GANobfuscator: Mitigating Information Leakage Under GAN via Differential Privacy","display_name":"GANobfuscator: Mitigating Information Leakage Under GAN via Differential Privacy","publication_year":2019,"publication_date":"2019-02-06","ids":{"openalex":"https://openalex.org/W2911915417","doi":"https://doi.org/10.1109/tifs.2019.2897874","mag":"2911915417"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2019.2897874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2897874","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5100524647","display_name":"Chugui Xu","orcid":"https://orcid.org/0000-0001-9872-3976"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chugui Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015419107","display_name":"Ju Ren","orcid":"https://orcid.org/0000-0003-2782-183X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Ren","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2782-183X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705648","display_name":"Deyu Zhang","orcid":"https://orcid.org/0000-0002-5676-1285"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5676-1285","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069049205","display_name":"Yaoxue Zhang","orcid":"https://orcid.org/0000-0001-6717-461X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoxue Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6717-461X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043524348","display_name":"Zhan Qin","orcid":"https://orcid.org/0000-0001-7872-6969"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Qin","raw_affiliation_strings":["Institute of Cyberspace Research, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Research, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105297718","display_name":"Kui Ren","orcid":"https://orcid.org/0000-0002-1969-2591"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Ren","raw_affiliation_strings":["Institute of Cyberspace Research, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Research, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.3515,"has_fulltext":false,"cited_by_count":215,"citation_normalized_percentile":{"value":0.99377989,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"9","first_page":"2358","last_page":"2371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9939000010490417,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/differential-privacy","display_name":"Differential privacy","score":0.8835029602050781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8742508888244629},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7113014459609985},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6397362947463989},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5669883489608765},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.5446008443832397},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5174649357795715},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5169064998626709},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4766063094139099},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4653319716453552},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.446239709854126},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4417809545993805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42701399326324463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103041887283325},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35380661487579346},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1542896330356598},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11470383405685425}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8835029602050781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8742508888244629},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7113014459609985},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6397362947463989},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5669883489608765},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.5446008443832397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5174649357795715},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5169064998626709},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4766063094139099},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4653319716453552},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.446239709854126},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4417809545993805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42701399326324463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103041887283325},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35380661487579346},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1542896330356598},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11470383405685425},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2019.2897874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2897874","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4066238608","display_name":null,"funder_award_id":"B18059","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G5462906374","display_name":null,"funder_award_id":"61702562","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6995894700","display_name":null,"funder_award_id":"2016CXS013","funder_id":"https://openalex.org/F4320321514","funder_display_name":"Central South University"},{"id":"https://openalex.org/G7469032032","display_name":null,"funder_award_id":"CNS-1262277","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G849053894","display_name":null,"funder_award_id":"61702561","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1836465849","https://openalex.org/W1873763122","https://openalex.org/W1985511977","https://openalex.org/W2053637704","https://openalex.org/W2096870293","https://openalex.org/W2109426455","https://openalex.org/W2125389028","https://openalex.org/W2167372639","https://openalex.org/W2194775991","https://openalex.org/W2473418344","https://openalex.org/W2520442116","https://openalex.org/W2521028896","https://openalex.org/W2531035071","https://openalex.org/W2535690855","https://openalex.org/W2559110679","https://openalex.org/W2580360036","https://openalex.org/W2585635281","https://openalex.org/W2591882872","https://openalex.org/W2604918751","https://openalex.org/W2724212798","https://openalex.org/W2729742878","https://openalex.org/W2739748921","https://openalex.org/W2741234481","https://openalex.org/W2742699808","https://openalex.org/W2765440071","https://openalex.org/W2765886485","https://openalex.org/W2781500801","https://openalex.org/W2789226849","https://openalex.org/W2805375573","https://openalex.org/W2952673310","https://openalex.org/W2963053914","https://openalex.org/W2963313259","https://openalex.org/W2963373786","https://openalex.org/W3099111404","https://openalex.org/W4205228770","https://openalex.org/W4234726042","https://openalex.org/W4293469690","https://openalex.org/W4293568373","https://openalex.org/W4295274059","https://openalex.org/W4295521014","https://openalex.org/W4297799122","https://openalex.org/W4320013936","https://openalex.org/W6638667902","https://openalex.org/W6639246211","https://openalex.org/W6718379498","https://openalex.org/W6726828527","https://openalex.org/W6728897251","https://openalex.org/W6735913928","https://openalex.org/W6741832134"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2558166297","https://openalex.org/W2734500670","https://openalex.org/W2315671126","https://openalex.org/W4296973715","https://openalex.org/W3133418680","https://openalex.org/W3093310219","https://openalex.org/W4387193529","https://openalex.org/W3101646702"],"abstract_inverted_index":{"By":[0],"learning":[1,126],"generative":[2,10,28],"models":[3],"of":[4,39,65,79,138,149,181],"semantic-rich":[5],"data":[6,140,182,199],"distributions":[7],"from":[8],"samples,":[9],"adversarial":[11],"network":[12],"(GAN)":[13],"has":[14],"recently":[15],"attracted":[16],"intensive":[17],"research":[18],"interests":[19],"due":[20,59],"to":[21,34,48,60,72,92,122,133,175],"its":[22],"excellent":[23],"empirical":[24],"performance":[25],"as":[26],"a":[27,40,106,170],"model.":[29],"The":[30],"model":[31,63],"is":[32],"used":[33],"estimate":[35],"the":[36,61,77,94,125,147,177],"underlying":[37],"distribution":[38,80],"dataset":[41],"and":[42,179,200],"randomly":[43],"generate":[44,134],"realistic":[45],"samples":[46,58],"according":[47],"their":[49],"estimated":[50],"distribution.":[51],"However,":[52],"GANs":[53,69,116],"can":[54,111,158,195],"easily":[55],"remember":[56],"training":[57,150],"high":[62],"complexity":[64],"deep":[66],"networks.":[67],"When":[68],"are":[70,131],"applied":[71],"private":[73,108],"or":[74],"sensitive":[75],"data,":[76],"concentration":[78],"may":[81],"divulge":[82],"some":[83],"critical":[84],"information.":[85],"It":[86],"consequently":[87],"requires":[88],"new":[89],"technological":[90],"advances":[91],"mitigate":[93],"information":[95],"leakage":[96],"under":[97,115,204],"GANs.":[98],"To":[99],"address":[100],"this":[101],"issue,":[102],"we":[103,153,168,191],"propose":[104],"GANobfuscator,":[105,129],"differentially":[107],"GAN,":[109],"which":[110],"achieve":[112],"differential":[113,164],"privacy":[114,148,161,206],"by":[117],"adding":[118],"carefully":[119],"designed":[120],"noise":[121],"gradients":[123],"during":[124],"procedure.":[127],"With":[128],"analysts":[130],"able":[132],"an":[135],"unlimited":[136],"amount":[137],"synthetic":[139],"for":[141,173],"arbitrary":[142],"analysis":[143],"tasks":[144],"without":[145],"disclosing":[146],"data.":[151],"Moreover,":[152],"theoretically":[154],"prove":[155],"that":[156,193],"GANobfuscator":[157,174,194],"provide":[159],"strict":[160],"guarantee":[162],"with":[163],"privacy.":[165],"In":[166],"addition,":[167],"develop":[169],"gradient-pruning":[171],"strategy":[172],"improve":[176],"scalability":[178],"stability":[180],"training.":[183],"Through":[184],"extensive":[185],"experimental":[186],"evaluation":[187],"on":[188],"benchmark":[189],"datasets,":[190],"demonstrate":[192],"produce":[196],"high-quality":[197],"generated":[198],"retain":[201],"desirable":[202],"utility":[203],"practical":[205],"budgets.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":39},{"year":2019,"cited_by_count":15}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}