{"id":"https://openalex.org/W4409657505","doi":"https://doi.org/10.1145/3696410.3714823","title":"Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks","display_name":"Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657505","doi":"https://doi.org/10.1145/3696410.3714823"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714823","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714823","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714823","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714823","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100511911","display_name":"Wenhan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhan Wu","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102918834","display_name":"Jiawei Jiang","orcid":"https://orcid.org/0000-0003-0051-0046"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Jiang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038334756","display_name":"Chuang Hu","orcid":"https://orcid.org/0000-0002-9051-3242"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chuang Hu","raw_affiliation_strings":["State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, Macao"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, Macao","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100511911"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10260394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3783","last_page":"3793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9988999962806702,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.8651829957962036},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7291549444198608},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6099703311920166},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4406777620315552},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4383033514022827},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.35295242071151733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2556789219379425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8651829957962036},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7291549444198608},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6099703311920166},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4406777620315552},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4383033514022827},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.35295242071151733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2556789219379425},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714823","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714823","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714823","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714823","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714823","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714823","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G303100565","display_name":null,"funder_award_id":"62302348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3830727860","display_name":null,"funder_award_id":"62341410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4803673267","display_name":null,"funder_award_id":"2023YFE0205700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6189886122","display_name":null,"funder_award_id":"62472327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G878059871","display_name":null,"funder_award_id":"0078/2023/AMJ","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657505.pdf","grobid_xml":"https://content.openalex.org/works/W4409657505.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1965555277","https://openalex.org/W2069870183","https://openalex.org/W2073587810","https://openalex.org/W2089115299","https://openalex.org/W2102471334","https://openalex.org/W2142144955","https://openalex.org/W2219888463","https://openalex.org/W2473418344","https://openalex.org/W2492959872","https://openalex.org/W2531563875","https://openalex.org/W2739749877","https://openalex.org/W2740920897","https://openalex.org/W2744999500","https://openalex.org/W2754816816","https://openalex.org/W2798327638","https://openalex.org/W2952463989","https://openalex.org/W2964162474","https://openalex.org/W2989872778","https://openalex.org/W2997538502","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3047789363","https://openalex.org/W3052406127","https://openalex.org/W3064112253","https://openalex.org/W3081273427","https://openalex.org/W3102415183","https://openalex.org/W3137510859","https://openalex.org/W3156842467","https://openalex.org/W3174074918","https://openalex.org/W3201463768","https://openalex.org/W3210802119","https://openalex.org/W3217045679","https://openalex.org/W4213390626","https://openalex.org/W4224307896","https://openalex.org/W4225989372","https://openalex.org/W4281885833","https://openalex.org/W4308644392","https://openalex.org/W4312314959","https://openalex.org/W4321521256","https://openalex.org/W4362714589","https://openalex.org/W4380270961","https://openalex.org/W4384284127","https://openalex.org/W4386075674","https://openalex.org/W4386729696","https://openalex.org/W4387560482","https://openalex.org/W4387846929","https://openalex.org/W4388069167","https://openalex.org/W4390436845","https://openalex.org/W4391620832","https://openalex.org/W4391791439","https://openalex.org/W4393147285","https://openalex.org/W4393156769","https://openalex.org/W4393161245","https://openalex.org/W4394595144","https://openalex.org/W4400985386"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510"],"abstract_inverted_index":{"As":[0],"privacy":[1,138,172],"concerns":[2],"in":[3,127],"recommender":[4,10],"systems":[5,11],"become":[6],"increasingly":[7],"prominent,":[8],"federated":[9,78,106],"(FedRecs)":[12],"have":[13],"emerged":[14],"as":[15,64,75],"a":[16,26,103],"promising":[17],"distributed":[18],"training":[19,24,148],"paradigm.FedRecs":[20],"enable":[21],"the":[22,33,119,125],"collaborative":[23],"of":[25,35,160],"shared":[27],"global":[28],"recommendation":[29,100,128,141],"model":[30,120],"without":[31],"requiring":[32],"exchange":[34],"raw":[36],"client":[37],"interaction":[38,149],"data.However,":[39],"models":[40],"trained":[41],"using":[42],"standard":[43],"FedRec":[44],"methods":[45],"remain":[46],"vulnerable":[47],"to":[48,87,136,145],"personal":[49],"information":[50],"leakage,":[51],"particularly":[52],"through":[53],"attribute":[54,84,116],"inference":[55,96],"attacks,":[56],"which":[57,110],"can":[58],"expose":[59],"sensitive":[60,82,89],"user":[61,92,171],"attributes":[62,74,90],"such":[63],"gender":[65],"and":[66,140],"race.In":[67],"this":[68],"paper,":[69],"we":[70],"address":[71],"these":[72],"user-sensitive":[73],"targets":[76],"for":[77],"unlearning.To":[79],"protect":[80],"users'":[81],"information,":[83],"unlearning":[85,107,112],"aims":[86],"eliminate":[88],"from":[91],"embeddings,":[93],"thereby":[94],"preventing":[95],"attacks":[97],"while":[98,173],"preserving":[99],"performance.We":[101],"introduce":[102],"novel":[104],"post-training":[105],"framework,":[108],"Aegis,":[109],"performs":[111],"based":[113],"on":[114],"private":[115],"requests":[117],"after":[118],"has":[121],"been":[122],"trained,":[123],"minimizing":[124],"degradation":[126],"accuracy.Aegis":[129],"employs":[130],"an":[131],"information-theoretic":[132],"multi-component":[133],"loss":[134],"function":[135],"balance":[137],"protection":[139,157],"performance.Additionally,":[142],"Aegis":[143],"adapts":[144],"scenarios":[146],"where":[147],"data":[150],"may":[151],"be":[152],"unavailable,":[153],"reflecting":[154],"real-world":[155],"centralized":[156],"scenarios.Comprehensive":[158],"evaluations":[159],"various":[161],"benchmark":[162],"datasets":[163],"demonstrate":[164],"that":[165],"our":[166],"proposed":[167],"method":[168],"effectively":[169],"safeguards":[170],"maintaining":[174],"high-quality":[175],"recommendations.":[176]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}