{"id":"https://openalex.org/W7118193571","doi":"https://doi.org/10.1109/aiccsa66935.2025.11315227","title":"Can Diffusion-Based Posterior Smoothing Secure GNNs from Membership Inference Attacks?","display_name":"Can Diffusion-Based Posterior Smoothing Secure GNNs from Membership Inference Attacks?","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118193571","doi":"https://doi.org/10.1109/aiccsa66935.2025.11315227"},"language":null,"primary_location":{"id":"doi:10.1109/aiccsa66935.2025.11315227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa66935.2025.11315227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACS 22nd International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023835779","display_name":"Abdellah Jnaini","orcid":"https://orcid.org/0000-0002-7506-8582"},"institutions":[{"id":"https://openalex.org/I4210108110","display_name":"Mohamed I University","ror":"https://ror.org/01ejxf797","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210108110"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdellah Jnaini","raw_affiliation_strings":["National School of Applied Sciences UMP,Department of Computer Science,Oujda,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Applied Sciences UMP,Department of Computer Science,Oujda,Morocco","institution_ids":["https://openalex.org/I4210108110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028718368","display_name":"Mohammed-Amine Koulali","orcid":"https://orcid.org/0000-0003-3284-1237"},"institutions":[{"id":"https://openalex.org/I4210131560","display_name":"Universit\u00e9 Mohammed VI Polytechnique","ror":"https://ror.org/03xc55g68","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210131560"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed-Amine Koulali","raw_affiliation_strings":["Mohammed VI Polytechnic University (UM6P) Ben Guerir,Department of Computer Science,Benguerir,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohammed VI Polytechnic University (UM6P) Ben Guerir,Department of Computer Science,Benguerir,Morocco","institution_ids":["https://openalex.org/I4210131560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.063,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93325969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.847000002861023,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.847000002861023,"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":0.0608999989926815,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.04529999941587448,"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/inference","display_name":"Inference","score":0.6201000213623047},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5641999840736389},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4708000123500824},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.3596000075340271},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.3596000075340271},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.3580000102519989},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.3400999903678894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128999829292297},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5641999840736389},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5339000225067139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5153999924659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828000068664551},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4708000123500824},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa66935.2025.11315227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa66935.2025.11315227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACS 22nd International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7327161431312561,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2153959628","https://openalex.org/W2160815625","https://openalex.org/W2558748708","https://openalex.org/W2884943453","https://openalex.org/W2912636151","https://openalex.org/W2913015533","https://openalex.org/W2945827377","https://openalex.org/W2963021451","https://openalex.org/W2963037989","https://openalex.org/W2963105378","https://openalex.org/W2985331920","https://openalex.org/W2987119394","https://openalex.org/W3125963848","https://openalex.org/W3211612862","https://openalex.org/W4283650725","https://openalex.org/W4288057780","https://openalex.org/W4292696974","https://openalex.org/W4308642595","https://openalex.org/W4308644392","https://openalex.org/W4312067215","https://openalex.org/W4312228673","https://openalex.org/W4379468629","https://openalex.org/W4385522595","https://openalex.org/W4387831926","https://openalex.org/W4389279172","https://openalex.org/W4394687104","https://openalex.org/W4402474492"],"related_works":[],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"are":[4],"increasingly":[5],"applied":[6],"in":[7,30,49],"domains":[8],"such":[9],"as":[10],"drug":[11],"discovery,":[12],"medical":[13],"diagnostics,":[14],"and":[15,35,122],"community":[16],"detection.":[17],"Despite":[18],"their":[19],"powerful":[20],"predictive":[21,102],"capabilities,":[22],"GNNs":[23,50],"remain":[24],"vulnerable":[25],"to":[26,137],"privacy":[27,81],"threats,":[28],"particularly":[29],"sensitive":[31],"contexts":[32],"like":[33],"healthcare":[34],"finance":[36],"where":[37],"data":[38,56],"confidentiality":[39],"is":[40],"paramount.":[41],"This":[42],"study":[43],"targets":[44],"a":[45,65,91],"pressing":[46],"security":[47],"concern":[48],"by":[51,86,114],"addressing":[52],"the":[53,80,101,105,110],"risk":[54],"of":[55,82,104],"exposure":[57],"through":[58,90],"Membership":[59],"Inference":[60],"Attacks":[61],"(MIA).":[62],"We":[63],"propose":[64],"novel,":[66],"model":[67],"agnostic":[68],"defense":[69],"framework":[70],"based":[71,74],"on":[72],"Diffusion":[73],"Posterior":[75],"Smoothing":[76],"(DPS),":[77],"which":[78],"enhances":[79],"node":[83,138],"level":[84],"predictions":[85],"perturbing":[87],"class":[88],"probabilities":[89],"learned":[92],"diffusion":[93],"denoising":[94],"process.":[95],"Unlike":[96],"prior":[97],"methods,":[98],"DPS":[99,127],"maintains":[100],"utility":[103],"GNN":[106,123],"while":[107],"significantly":[108],"reducing":[109],"information":[111],"leakage":[112],"exploited":[113],"MIA":[115],"adversaries.":[116],"Empirical":[117],"evaluations":[118],"across":[119],"diverse":[120],"datasets":[121],"architectures":[124],"confirm":[125],"that":[126],"provides":[128],"robust":[129],"protection":[130],"against":[131],"inference":[132],"attacks":[133],"with":[134],"minimal":[135],"compromise":[136],"classification":[139],"accuracy.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2026-01-05T00:00:00"}