{"id":"https://openalex.org/W4384655830","doi":"https://doi.org/10.1145/3539618.3591722","title":"Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures","display_name":"Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384655830","doi":"https://doi.org/10.1145/3539618.3591722"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://hdl.handle.net/10072/425900","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044488322","display_name":"Wei Yuan","orcid":"https://orcid.org/0000-0002-9400-842X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Yuan","raw_affiliation_strings":["The University of Queensland, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9400-842X","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051219382","display_name":"Quoc Viet Hung Nguyen","orcid":"https://orcid.org/0000-0002-9687-1315"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quoc Viet Hung Nguyen","raw_affiliation_strings":["Griffith University, Gold Coast, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9687-1315","affiliations":[{"raw_affiliation_string":"Griffith University, Gold Coast, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027259486","display_name":"Tieke He","orcid":"https://orcid.org/0000-0001-9649-1796"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieke He","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9649-1796","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334607","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-3787-8832"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3787-8832","affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088492734","display_name":"Hongzhi Yin","orcid":"https://orcid.org/0000-0003-1395-261X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongzhi Yin","raw_affiliation_strings":["The University of Queensland, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1395-261X","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1690","last_page":"1699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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":0.9987999796867371,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9805999994277954,"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/upload","display_name":"Upload","score":0.8327540159225464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8028548955917358},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7026703357696533},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6328812837600708},{"id":"https://openalex.org/keywords/countermeasure","display_name":"Countermeasure","score":0.6265790462493896},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6170748472213745},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6150661706924438},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4178313910961151},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.33906659483909607},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28151652216911316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2190856635570526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06703835725784302}],"concepts":[{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.8327540159225464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028548955917358},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7026703357696533},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6328812837600708},{"id":"https://openalex.org/C21593369","wikidata":"https://www.wikidata.org/wiki/Q1032176","display_name":"Countermeasure","level":2,"score":0.6265790462493896},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6170748472213745},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6150661706924438},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4178313910961151},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.33906659483909607},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28151652216911316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2190856635570526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06703835725784302},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3539618.3591722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/425900","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/425900","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/425900","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/425900","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1977290284","https://openalex.org/W1980250184","https://openalex.org/W2027731328","https://openalex.org/W2069065514","https://openalex.org/W2097584193","https://openalex.org/W2438218466","https://openalex.org/W2498566050","https://openalex.org/W2605350416","https://openalex.org/W2744999500","https://openalex.org/W2750814160","https://openalex.org/W2788728386","https://openalex.org/W2971641579","https://openalex.org/W3012782947","https://openalex.org/W3034844787","https://openalex.org/W3045200674","https://openalex.org/W3081273427","https://openalex.org/W3087391814","https://openalex.org/W3123459983","https://openalex.org/W3124675547","https://openalex.org/W3171665710","https://openalex.org/W3174074918","https://openalex.org/W3205970722","https://openalex.org/W4226493408","https://openalex.org/W4290648792","https://openalex.org/W4312337604","https://openalex.org/W4321521256","https://openalex.org/W6600020652","https://openalex.org/W6601076540","https://openalex.org/W6601630192","https://openalex.org/W6603484964"],"related_works":["https://openalex.org/W2378749186","https://openalex.org/W2364088131","https://openalex.org/W2944823289","https://openalex.org/W2362741838","https://openalex.org/W622044715","https://openalex.org/W4390273403","https://openalex.org/W3037018281","https://openalex.org/W4386781444","https://openalex.org/W2378994067","https://openalex.org/W2972592048"],"abstract_inverted_index":{"Federated":[0],"Recommender":[1],"Systems":[2],"(FedRecs)":[3],"are":[4,30,45],"considered":[5],"privacy-preserving":[6],"techniques":[7],"to":[8,32,73,164,189],"collaboratively":[9],"learn":[10],"a":[11,68,101,171,182],"recommendation":[12,85,131],"model":[13],"without":[14,86],"sharing":[15],"user":[16],"data.":[17],"Since":[18],"all":[19],"participants":[20],"can":[21,140],"directly":[22],"influence":[23],"the":[24,58,83,143,166,200,205],"systems":[25],"by":[26,100],"uploading":[27],"gradients,":[28],"FedRecs":[29,44,124],"vulnerable":[31],"poisoning":[33,41,70,175,193],"attacks":[34,42,176],"of":[35,61,103,146,207],"malicious":[36,105,153],"clients.":[37],"However,":[38],"most":[39],"existing":[40,192],"on":[43,48,88,128,177],"either":[46],"based":[47],"some":[49],"prior":[50,90],"knowledge":[51],"or":[52],"with":[53,120,150,186],"less":[54],"effectiveness.":[55],"To":[56],"reveal":[57],"real":[59],"vulnerability":[60],"FedRecs,":[62],"in":[63,82],"this":[64],"paper,":[65],"we":[66,169,180],"present":[67],"new":[69],"attack":[71,94,139],"method":[72],"manipulate":[74],"target":[75,96,112,148],"items'":[76,97,113],"ranks":[77],"and":[78,126,155],"exposure":[79,98,144],"rates":[80],"effectively":[81],"top-K":[84],"relying":[87],"any":[89],"knowledge.":[91],"Specifically,":[92,179],"our":[93,138],"manipulates":[95],"rate":[99,145],"group":[102],"synthetic":[104],"users":[106,154],"who":[107],"upload":[108],"poisoned":[109],"gradients":[110],"considering":[111],"alternative":[114],"products.":[115],"We":[116],"conduct":[117],"extensive":[118],"experiments":[119],"two":[121,129],"widely":[122],"used":[123],"(Fed-NCF":[125],"Fed-LightGCN)":[127],"real-world":[130],"datasets.":[132],"The":[133,195],"experimental":[134],"results":[135,197],"show":[136],"that":[137,199],"significantly":[141],"improve":[142],"unpopular":[147],"items":[149],"extremely":[151],"fewer":[152,156],"global":[157],"epochs":[158],"than":[159],"state-of-the-art":[160],"attacks.":[161,194],"In":[162],"addition":[163],"disclosing":[165],"security":[167],"hole,":[168],"design":[170],"novel":[172],"countermeasure":[173],"for":[174],"FedRecs.":[178,208],"propose":[181],"hierarchical":[183],"gradient":[184],"clipping":[185],"sparsified":[187],"updating":[188],"defend":[190],"against":[191],"empirical":[196],"demonstrate":[198],"proposed":[201],"defending":[202],"mechanism":[203],"improves":[204],"robustness":[206]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
