{"id":"https://openalex.org/W4380357037","doi":"https://doi.org/10.1145/3564746.3587027","title":"Evaluation of Query-Based Membership Inference Attack on the Medical Data","display_name":"Evaluation of Query-Based Membership Inference Attack on the Medical Data","publication_year":2023,"publication_date":"2023-04-12","ids":{"openalex":"https://openalex.org/W4380357037","doi":"https://doi.org/10.1145/3564746.3587027"},"language":"en","primary_location":{"id":"doi:10.1145/3564746.3587027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3564746.3587027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM Southeast Conference","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/A5078815963","display_name":"Lakshmi Prasanna Pedarla","orcid":"https://orcid.org/0009-0005-8061-9712"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lakshmi Prasanna Pedarla","raw_affiliation_strings":["Kennesaw State University, Marietta, USA"],"raw_orcid":"https://orcid.org/0009-0005-8061-9712","affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319962","display_name":"Xinyue Zhang","orcid":"https://orcid.org/0000-0002-4243-083X"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyue Zhang","raw_affiliation_strings":["Kennesaw State University, Marietta, USA"],"raw_orcid":"https://orcid.org/0000-0002-4243-083X","affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686090","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0003-3910-3536"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Kennesaw State University, Marietta, USA"],"raw_orcid":"https://orcid.org/0000-0003-3910-3536","affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108865588","display_name":"Hafiz Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hafiz Khan","raw_affiliation_strings":["Kennesaw State University, Marietta, USA"],"raw_orcid":"https://orcid.org/0009-0004-6957-5264","affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":0.3226,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63346236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"195"},"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":0.9905999898910522,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7944869995117188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7236906290054321},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6597047448158264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6069963574409485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498030185699463},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5391491055488586},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4994814395904541},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4775160849094391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46708011627197266},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.44379156827926636},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.4303862750530243},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15273138880729675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10178869962692261}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7944869995117188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236906290054321},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6597047448158264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6069963574409485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498030185699463},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5391491055488586},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4994814395904541},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4775160849094391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46708011627197266},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.44379156827926636},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.4303862750530243},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15273138880729675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10178869962692261},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3564746.3587027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3564746.3587027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM Southeast Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2051267297","https://openalex.org/W2535690855","https://openalex.org/W2897417239","https://openalex.org/W2930926105","https://openalex.org/W2962821226","https://openalex.org/W2963378725","https://openalex.org/W3033511014","https://openalex.org/W3103245149","https://openalex.org/W3119876694","https://openalex.org/W4285196615"],"related_works":["https://openalex.org/W2989932438","https://openalex.org/W2795435272","https://openalex.org/W2951851447","https://openalex.org/W3099765033","https://openalex.org/W2753840555","https://openalex.org/W4210794429","https://openalex.org/W1996541855","https://openalex.org/W2940336242","https://openalex.org/W4288096876","https://openalex.org/W4362499066"],"abstract_inverted_index":{"In":[0,114],"recent":[1,16],"years,":[2],"machine":[3,151],"learning":[4,152],"(ML)":[5],"has":[6,18],"achieved":[7],"huge":[8],"success":[9],"in":[10,36,108,186],"healthcare":[11,37,80],"and":[12,38,47,121,191,200,221],"medicine":[13],"areas.":[14],"However,":[15],"work":[17],"demonstrated":[19],"that":[20,44,148,232],"ML":[21,75,87,137],"is":[22,71,91,106,143,155,178],"vulnerable":[23,57],"to":[24,30,58,77,84,93,99,126,133,158,179,207,225],"privacy":[25],"leakage":[26],"since":[27],"it":[28],"exhibits":[29],"overfit":[31],"the":[32,68,85,89,109,135,146,159,169,187,194,201,209,233,240],"training":[33,74,112,165,182],"datasets.":[34],"Especially,":[35],"medical":[39,45,111,216],"communities,":[40],"there":[41],"are":[42,56],"concerns":[43],"images":[46],"electronic":[48],"health":[49,53],"records":[50],"containing":[51],"protected":[52],"information":[54],"(PHI)":[55],"inference":[59,96,243],"attacks.":[60],"These":[61],"PHI":[62],"might":[63],"be":[64],"unwittingly":[65],"leaked":[66],"when":[67],"aforementioned":[69],"data":[70,104,224],"used":[72,107,132,213],"for":[73],"models":[76],"address":[78],"necessary":[79],"concerns.":[81],"Given":[82],"access":[83],"trained":[86,150],"model,":[88],"attacker":[90],"able":[92],"adopt":[94],"membership":[95,242],"attacks":[97],"(MIA)":[98],"determine":[100,127],"whether":[101,128],"a":[102,123,129,149,181],"specific":[103],"sample":[105,130],"corresponding":[110,188,202],"dataset.":[113],"this":[115],"paper,":[116],"we":[117],"concentrate":[118],"on":[119,145,163],"MIA":[120],"propose":[122],"new":[124],"method":[125,142,177],"was":[131],"train":[134,208],"given":[136],"model":[138,153],"or":[139],"not.":[140],"Our":[141,229],"based":[144],"observation":[147],"usually":[154],"lesser":[156],"sensitive":[157],"feature":[160,184,189],"value":[161,185],"perturbations":[162],"its":[164],"samples":[166],"compared":[167],"with":[168],"non-training":[170],"samples.":[171],"The":[172],"key":[173],"idea":[174],"of":[175],"our":[176,227],"perturb":[180],"sample's":[183],"space":[190],"then":[192],"compute":[193],"relationship":[195],"between":[196],"each":[197],"feature's":[198],"perturbation":[199],"prediction's":[203],"change":[204],"as":[205,219],"features":[206],"attack":[210,235,244],"model.":[211],"We":[212],"publicly":[214],"available":[215],"datasets":[217],"such":[218],"diabetes":[220],"heartbeat":[222],"categorization":[223],"evaluate":[226],"method.":[228,245],"evaluation":[230],"shows":[231],"proposed":[234],"can":[236],"perform":[237],"better":[238],"than":[239],"existing":[241]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}