{"id":"https://openalex.org/W4319586706","doi":"https://doi.org/10.1109/dsaa54385.2022.10032429","title":"Generating Privacy Preserving Synthetic Medical Data","display_name":"Generating Privacy Preserving Synthetic Medical Data","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4319586706","doi":"https://doi.org/10.1109/dsaa54385.2022.10032429"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa54385.2022.10032429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032429","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5101827902","display_name":"Fahim Faisal","orcid":"https://orcid.org/0000-0001-9835-6299"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fahim Faisal","raw_affiliation_strings":["University of Manitoba,Dept. of Computer Science,Winnipeg,MB,Canada","Dept. of Computer Science, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba,Dept. of Computer Science,Winnipeg,MB,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Dept. of Computer Science, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075894318","display_name":"Noman Mohammed","orcid":"https://orcid.org/0000-0001-8547-9951"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Noman Mohammed","raw_affiliation_strings":["University of Manitoba,Dept. of Computer Science,Winnipeg,MB,Canada","Dept. of Computer Science, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba,Dept. of Computer Science,Winnipeg,MB,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Dept. of Computer Science, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016113718","display_name":"Carson K. Leung","orcid":"https://orcid.org/0000-0002-7541-9127"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Carson K. Leung","raw_affiliation_strings":["University of Manitoba,Dept. of Computer Science,Winnipeg,MB,Canada","Dept. of Computer Science, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba,Dept. of Computer Science,Winnipeg,MB,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Dept. of Computer Science, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322712","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5344-1884"},"institutions":[{"id":"https://openalex.org/I4210148195","display_name":"Concordia University","ror":"https://ror.org/04dwckp88","country_code":"US","type":"education","lineage":["https://openalex.org/I4210148195"]},{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Concordia University,Dept. of CSSE,Montreal,QC,Canada","Dept. of CSSE, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Dept. of CSSE,Montreal,QC,Canada","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I4210148195"]},{"raw_affiliation_string":"Dept. of CSSE, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101827902"],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":2.0923,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89399481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9767000079154968,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8181644082069397},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6626534461975098},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.5667129755020142},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5601887106895447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5406794548034668},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5334487557411194},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5276638269424438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4625745117664337},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4620944559574127},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4448925852775574},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.4402596354484558},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.4274795651435852},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32100337743759155},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21269288659095764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21096450090408325},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.1364821493625641},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10085323452949524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181644082069397},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6626534461975098},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.5667129755020142},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5601887106895447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5406794548034668},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5334487557411194},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5276638269424438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4625745117664337},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4620944559574127},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4448925852775574},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4402596354484558},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.4274795651435852},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32100337743759155},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21269288659095764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21096450090408325},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.1364821493625641},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10085323452949524},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa54385.2022.10032429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032429","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311952","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W2027595342","https://openalex.org/W2125389028","https://openalex.org/W2194775991","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2604918751","https://openalex.org/W2739748921","https://openalex.org/W2751687090","https://openalex.org/W2781600508","https://openalex.org/W2784621220","https://openalex.org/W2785361959","https://openalex.org/W2788633781","https://openalex.org/W2789226849","https://openalex.org/W2799040448","https://openalex.org/W2903970876","https://openalex.org/W2904931021","https://openalex.org/W2910022251","https://openalex.org/W2942354470","https://openalex.org/W2945263066","https://openalex.org/W2950776302","https://openalex.org/W2951523806","https://openalex.org/W2961396908","https://openalex.org/W2962770929","https://openalex.org/W2963684088","https://openalex.org/W2964261464","https://openalex.org/W2967880504","https://openalex.org/W2992570522","https://openalex.org/W2996366116","https://openalex.org/W3047625747","https://openalex.org/W3093276592","https://openalex.org/W3102268201","https://openalex.org/W3104110119","https://openalex.org/W3108764627","https://openalex.org/W3109432229","https://openalex.org/W3110476438","https://openalex.org/W3115920135","https://openalex.org/W3139435502","https://openalex.org/W3161307971","https://openalex.org/W3178949368","https://openalex.org/W4288023537","https://openalex.org/W4288296172","https://openalex.org/W4295521014","https://openalex.org/W4297799122","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6638667902","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6728897251","https://openalex.org/W6729482032","https://openalex.org/W6735913928","https://openalex.org/W6735926176","https://openalex.org/W6741832134","https://openalex.org/W6747732332","https://openalex.org/W6747747879","https://openalex.org/W6747855403","https://openalex.org/W6748503580","https://openalex.org/W6765451912","https://openalex.org/W6766757622","https://openalex.org/W6767675000","https://openalex.org/W6770308229","https://openalex.org/W6771508367","https://openalex.org/W6779062925","https://openalex.org/W6797936153"],"related_works":["https://openalex.org/W2019704260","https://openalex.org/W4304208041","https://openalex.org/W3010824232","https://openalex.org/W4212899026","https://openalex.org/W4390570329","https://openalex.org/W2795052735","https://openalex.org/W2758544064","https://openalex.org/W2603823019","https://openalex.org/W3081971900","https://openalex.org/W4286750579"],"abstract_inverted_index":{"Due":[0,206],"to":[1,86,95,127,165,170,198,201,207,216,257],"the":[2,6,11,39,58,87,114,128,185,199,203,217,249],"recent":[3],"development":[4],"in":[5,22,70,236,248],"deep":[7,26,173],"learning":[8,27],"community":[9],"and":[10,25,105,150,211,220,252],"availability":[12],"of":[13,41,51,77,131,135],"state-of-the-art":[14],"models,":[15],"medical":[16,33,63,115,154],"practitioners":[17],"are":[18],"getting":[19],"more":[20],"interested":[21],"computer":[23],"vision":[24],"for":[28,53,179,187,228],"diagnosis":[29,56,124,229],"tasks.":[30,230],"Moreover,":[31,175,231],"those":[32,93],"diagnostic":[34],"models":[35],"can":[36,47,109,147,162,225,234,243],"also":[37,110,194],"increase":[38],"reliability":[40],"conventional":[42],"findings.":[43],"As":[44],"radiology":[45,223,260],"images":[46,94,224,247,261],"convey":[48],"a":[49,54,121,142,172,208,237,254],"lot":[50],"information":[52,69],"patient\u2019s":[55],"task,":[57],"problem":[59],"is":[60,118],"that":[61,146],"such":[62,106,212],"data":[64,156,169],"may":[65,91,125],"contain":[66,244],"sensitive":[67,78],"private":[68,144,246],"their":[71,245],"content":[72],"header.":[73],"De-anonymization":[74],"(i.e.,":[75],"removal":[76],"header":[79],"information)":[80],"does":[81],"not":[82],"work":[83,235],"well":[84],"due":[85],"re-identification":[88],"risk,":[89],"which":[90,183],"link":[92],"essential":[96],"details":[97],"(e.g.,":[98],"birth":[99],"date,":[100],"SSN,":[101],"institution":[102],"name,":[103],"etc.),":[104],"an":[107,188],"approach":[108,145,233],"reduce":[111],"utility.":[112],"In":[113,137],"domain,":[116],"utility":[117],"significant":[119],"because":[120],"less":[122],"accurate":[123],"lead":[126],"wrong":[129],"course":[130],"treatment":[132],"and/or":[133],"loss":[134],"life.":[136],"this":[138],"paper,":[139],"we":[140,176],"developed":[141],"differentially":[143],"generate":[148,258],"high-quality":[149,219],"high":[151],"dimensional":[152],"synthetic":[153,259],"image":[155],"with":[157],"guaranteed":[158],"differential":[159],"privacy.":[160],"It":[161],"be":[163,226],"used":[164,177],"create":[166],"sufficient":[167],"quality":[168],"train":[171],"model.":[174],"W-GAN":[178],"bounded":[180],"gradient":[181],"guarantee,":[182],"eliminates":[184],"need":[186],"extensive":[189],"clipping":[190],"hyperparameter":[191],"search.":[192],"We":[193],"added":[195],"noise":[196,214],"selectively":[197],"generator":[200],"maintain":[202],"privacy-utility":[204],"trade-off.":[205],"noise-free":[209],"discriminator":[210],"selective":[213],"addition":[215],"generator,":[218],"reliable":[221],"generated":[222],"utilized":[227],"our":[232],"distributed":[238],"system":[239],"where":[240],"different":[241],"hospitals":[242],"local":[250],"server":[251,256],"use":[253],"central":[255],"without":[262],"storing":[263],"patient":[264],"data.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
