{"id":"https://openalex.org/W3156842467","doi":"https://doi.org/10.1145/3442381.3449813","title":"Graph Embedding for Recommendation against Attribute Inference Attacks","display_name":"Graph Embedding for Recommendation against Attribute Inference Attacks","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3156842467","doi":"https://doi.org/10.1145/3442381.3449813","mag":"3156842467"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449813","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449813","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449813","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100669791","display_name":"Shijie Zhang","orcid":"https://orcid.org/0000-0003-4201-7399"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Shijie Zhang","raw_affiliation_strings":["University of Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","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":"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":["University of Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461265","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0001-7269-146X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"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":"Tong Chen","raw_affiliation_strings":["University of Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Huang","orcid":"https://orcid.org/0000-0002-9738-4949"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"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":"Zi Huang","raw_affiliation_strings":["University of Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["King Abdullah University of Science & Technology, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science & Technology, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100669791"],"corresponding_institution_ids":["https://openalex.org/I165143802"],"apc_list":null,"apc_paid":null,"fwci":10.0791,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.98495558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3002","last_page":"3014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.998199999332428,"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":0.998199999332428,"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":0.9961000084877014,"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":0.9884999990463257,"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":0.853579044342041},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7369814515113831},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6821038722991943},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6773616671562195},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5176968574523926},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.4480106830596924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40945255756378174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3799581229686737},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.35780197381973267},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3491044044494629},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34460151195526123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2780471444129944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853579044342041},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7369814515113831},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6821038722991943},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6773616671562195},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5176968574523926},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.4480106830596924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40945255756378174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3799581229686737},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35780197381973267},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3491044044494629},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34460151195526123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2780471444129944}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3442381.3449813","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449813","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/669804","is_oa":true,"landing_page_url":"http://hdl.handle.net/10754/669804","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449813","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449813","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1539738334","https://openalex.org/W1560147776","https://openalex.org/W1873763122","https://openalex.org/W1908635827","https://openalex.org/W1981029888","https://openalex.org/W2009952684","https://openalex.org/W2022097286","https://openalex.org/W2040745220","https://openalex.org/W2083287929","https://openalex.org/W2110156460","https://openalex.org/W2117281325","https://openalex.org/W2123147099","https://openalex.org/W2135866194","https://openalex.org/W2137245235","https://openalex.org/W2155912844","https://openalex.org/W2159196732","https://openalex.org/W2162379889","https://openalex.org/W2167094273","https://openalex.org/W2169101582","https://openalex.org/W2296635479","https://openalex.org/W2468907370","https://openalex.org/W2519887557","https://openalex.org/W2534727297","https://openalex.org/W2565412869","https://openalex.org/W2598689838","https://openalex.org/W2604776663","https://openalex.org/W2624431344","https://openalex.org/W2781896769","https://openalex.org/W2789607830","https://openalex.org/W2807021761","https://openalex.org/W2811423811","https://openalex.org/W2945827670","https://openalex.org/W2951431594","https://openalex.org/W2963629772","https://openalex.org/W2963707260","https://openalex.org/W2965316489","https://openalex.org/W2981499034","https://openalex.org/W2989872778","https://openalex.org/W3012782947","https://openalex.org/W3021224225","https://openalex.org/W3047789363","https://openalex.org/W3095937012","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3102407811","https://openalex.org/W3102415183","https://openalex.org/W3134515681","https://openalex.org/W3143451908","https://openalex.org/W3173365306","https://openalex.org/W4245605774","https://openalex.org/W4301329292"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W4390273403","https://openalex.org/W3206966921"],"abstract_inverted_index":{"In":[0,149],"recent":[1],"years,":[2],"recommender":[3,119],"systems":[4,120],"play":[5],"a":[6,39,96,155,198],"pivotal":[7],"role":[8],"in":[9,43,167,175,223],"helping":[10],"users":[11,64],"identify":[12],"the":[13,44,49,66,79,85,108,171,179,212,219],"most":[14],"suitable":[15],"items":[16],"that":[17,121],"satisfy":[18],"personal":[19],"preferences.":[20],"As":[21],"user-item":[22],"interactions":[23],"can":[24,122],"be":[25],"naturally":[26],"modelled":[27],"as":[28],"graph-structured":[29],"data,":[30,56,84],"variants":[31],"of":[32,52,68,81,87,182,221,225],"graph":[33,159,183],"convolutional":[34,160,184],"networks":[35],"(GCNs)":[36],"have":[37],"become":[38],"well-established":[40],"building":[41],"block":[42],"latest":[45],"recommenders.":[46],"Due":[47],"to":[48,62,65,98,117,162,202,228],"wide":[50],"utilization":[51],"sensitive":[53,209],"user":[54,83],"profile":[55],"existing":[57,129],"recommendation":[58,109,138,180,233],"paradigms":[59],"are":[60,74],"likely":[61],"expose":[63],"threat":[67],"privacy":[69,177,191,205],"breach,":[70],"and":[71,107,128,192,211,232],"GCN-based":[72],"recommenders":[73,89],"no":[75],"exception.":[76],"Apart":[77],"from":[78],"leakage":[80],"raw":[82],"fragility":[86],"current":[88],"under":[90],"inference":[91,126,230],"attacks":[92,231],"offers":[93],"malicious":[94],"attackers":[95],"backdoor":[97],"estimate":[99],"users\u2019":[100,208],"private":[101,158],"attributes":[102],"via":[103],"their":[104],"behavioral":[105],"footprints":[106],"results.":[110],"However,":[111],"little":[112],"attention":[113],"has":[114],"been":[115],"paid":[116],"developing":[118],"defend":[123],"such":[124,164],"attribute":[125,229],"attacks,":[127],"works":[130],"achieve":[131],"attack":[132,144],"resistance":[133,227],"by":[134],"either":[135],"sacrificing":[136],"considerable":[137],"accuracy":[139],"or":[140,146],"only":[141],"covering":[142],"specific":[143],"models":[145],"protected":[147],"information.":[148],"our":[150],"paper,":[151],"we":[152,169,195],"propose":[153],"GERAI,":[154,168],"novel":[156],"differentially":[157],"network":[161],"address":[163],"limitations.":[165],"Specifically,":[166],"bind":[170],"information":[172],"perturbation":[173],"mechanism":[174],"differential":[176,190],"with":[178],"capability":[181],"networks.":[185],"Furthermore,":[186],"based":[187],"on":[188,207],"local":[189],"functional":[193],"mechanism,":[194],"innovatively":[196],"devise":[197],"dual-stage":[199],"encryption":[200],"paradigm":[201],"simultaneously":[203],"enforce":[204],"guarantee":[206],"features":[210],"model":[213],"optimization":[214],"process.":[215],"Extensive":[216],"experiments":[217],"show":[218],"superiority":[220],"GERAI":[222],"terms":[224],"its":[226],"effectiveness.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}