{"id":"https://openalex.org/W4403219833","doi":"https://doi.org/10.1145/3640457.3688148","title":"Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems","display_name":"Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403219833","doi":"https://doi.org/10.1145/3640457.3688148"},"language":"en","primary_location":{"id":"doi:10.1145/3640457.3688148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688148","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","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/10.1145/3640457.3688148","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100632070","display_name":"Yunfan Wu","orcid":"https://orcid.org/0000-0001-6994-6791"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunfan Wu","raw_affiliation_strings":["Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-6994-6791","affiliations":[{"raw_affiliation_string":"Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082827135","display_name":"Qi Cao","orcid":"https://orcid.org/0000-0003-3454-4789"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Cao","raw_affiliation_strings":["Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-3454-4789","affiliations":[{"raw_affiliation_string":"Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015654919","display_name":"Shuchang Tao","orcid":"https://orcid.org/0000-0001-6113-6145"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuchang Tao","raw_affiliation_strings":["Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-6113-6145","affiliations":[{"raw_affiliation_string":"Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044154450","display_name":"Kaike Zhang","orcid":"https://orcid.org/0000-0002-1197-5212"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaike Zhang","raw_affiliation_strings":["Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0002-1197-5212","affiliations":[{"raw_affiliation_string":"Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467161","display_name":"Fei Sun","orcid":"https://orcid.org/0000-0002-6146-148X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Sun","raw_affiliation_strings":["Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0002-6146-148X","affiliations":[{"raw_affiliation_string":"Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047897879","display_name":"Huawei Shen","orcid":"https://orcid.org/0000-0002-1081-8119"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Shen","raw_affiliation_strings":["Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0002-1081-8119","affiliations":[{"raw_affiliation_string":"Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100632070"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.238,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90797695,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"701","last_page":"711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9977999925613403,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.996399998664856,"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/retraining","display_name":"Retraining","score":0.8832404613494873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119781970977783},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6893343925476074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38771840929985046},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.351016640663147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3074520528316498},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06251078844070435}],"concepts":[{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.8832404613494873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119781970977783},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6893343925476074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38771840929985046},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.351016640663147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3074520528316498},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06251078844070435},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640457.3688148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688148","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3640457.3688148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688148","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.7200000286102295,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G196154846","display_name":null,"funder_award_id":"62272125, 62102402, U21B2046","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403219833.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1720514416","https://openalex.org/W1966553486","https://openalex.org/W1989279326","https://openalex.org/W2001575213","https://openalex.org/W2021644234","https://openalex.org/W2042281163","https://openalex.org/W2049455633","https://openalex.org/W2054141820","https://openalex.org/W2072651985","https://openalex.org/W2110953678","https://openalex.org/W2155106456","https://openalex.org/W2512971201","https://openalex.org/W2591957553","https://openalex.org/W2605350416","https://openalex.org/W2613314732","https://openalex.org/W2807021761","https://openalex.org/W2892160417","https://openalex.org/W2913193181","https://openalex.org/W2945827670","https://openalex.org/W2962712142","https://openalex.org/W2963085847","https://openalex.org/W2970971581","https://openalex.org/W2972646741","https://openalex.org/W3012794253","https://openalex.org/W3012798016","https://openalex.org/W3025378468","https://openalex.org/W3031339255","https://openalex.org/W3045200674","https://openalex.org/W3048511744","https://openalex.org/W3088777230","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3101291735","https://openalex.org/W3104774544","https://openalex.org/W3104956872","https://openalex.org/W3119520312","https://openalex.org/W3136856676","https://openalex.org/W3170976035","https://openalex.org/W3171665710","https://openalex.org/W3175142666","https://openalex.org/W3200953672","https://openalex.org/W3201053014","https://openalex.org/W3214009246","https://openalex.org/W4286750695","https://openalex.org/W4307073350","https://openalex.org/W4321780056","https://openalex.org/W4376132596","https://openalex.org/W4384642300","https://openalex.org/W4387846625"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"demonstrated":[3],"the":[4,22,41,45,51,61,86,95,106,133,155,167,171,197],"vulnerability":[5],"of":[6,25,66,97,158,166,201],"recommender":[7,39,169],"systems":[8],"to":[9,27,49,149,170,186],"data":[10,24,43,188],"poisoning":[11,189],"attacks,":[12],"where":[13],"adversaries":[14],"inject":[15],"carefully":[16],"crafted":[17],"fake":[18,47,67,182],"user":[19],"interactions":[20],"into":[21],"training":[23,152],"recommenders":[26],"promote":[28],"target":[29],"items.":[30],"Current":[31],"attack":[32,79],"methods":[33],"involve":[34],"iteratively":[35],"retraining":[36,56,87,159],"a":[37,76,92,102,118,141,163],"surrogate":[38,168],"on":[40,193],"poisoned":[42],"with":[44],"latest":[46],"users":[48],"optimize":[50],"attack.":[52],"However,":[53],"this":[54,71],"repetitive":[55],"is":[57],"highly":[58],"time-consuming,":[59],"hindering":[60],"efficient":[62],"assessment":[63],"and":[64,74,89,136,199],"optimization":[65],"users.":[68],"To":[69],"mitigate":[70],"computational":[72],"bottleneck":[73],"develop":[75],"more":[77,174],"effective":[78],"in":[80,94],"an":[81],"affordable":[82],"time,":[83],"we":[84,113],"analyze":[85],"process":[88],"find":[90],"that":[91,121],"change":[93],"representation":[96],"one":[98],"user/item":[99],"will":[100],"cause":[101],"cascading":[103,134],"effect":[104,135],"through":[105],"user-item":[107,127],"interaction":[108],"graph.":[109],"Under":[110,154],"theoretical":[111],"guidance,":[112],"introduce":[114],"Gradient":[115],"Passing":[116],"(GP),":[117],"novel":[119],"technique":[120],"explicitly":[122],"passes":[123],"gradients":[124],"between":[125],"interacted":[126],"pairs":[128],"during":[129],"backpropagation,":[130],"thereby":[131],"approximating":[132],"accelerating":[137],"retraining.":[138],"With":[139],"just":[140],"single":[142],"update,":[143],"GP":[144,161],"can":[145],"achieve":[146],"effects":[147],"comparable":[148],"multiple":[150],"original":[151],"iterations.":[153],"same":[156],"number":[157],"epochs,":[160],"enables":[162],"closer":[164],"approximation":[165,176],"victim.":[172],"This":[173],"accurate":[175],"provides":[177],"better":[178],"guidance":[179],"for":[180],"optimizing":[181],"users,":[183],"ultimately":[184],"leading":[185],"enhanced":[187],"attacks.":[190],"Extensive":[191],"experiments":[192],"real-world":[194],"datasets":[195],"demonstrate":[196],"efficiency":[198],"effectiveness":[200],"our":[202],"proposed":[203],"GP.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
