{"id":"https://openalex.org/W4388208112","doi":"https://doi.org/10.1109/tifs.2023.3327876","title":"Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection","display_name":"Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388208112","doi":"https://doi.org/10.1109/tifs.2023.3327876"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2023.3327876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3327876","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","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/A5047273213","display_name":"Yuni Lai","orcid":"https://orcid.org/0000-0002-2295-912X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yuni Lai","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2295-912X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077839265","display_name":"Yulin Zhu","orcid":"https://orcid.org/0000-0003-1231-1386"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yulin Zhu","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-1231-1386","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043696243","display_name":"Wenqi Fan","orcid":"https://orcid.org/0000-0002-4049-1233"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenqi Fan","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080316854","display_name":"Xiaoge Zhang","orcid":"https://orcid.org/0000-0001-6831-3175"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoge Zhang","raw_affiliation_strings":["Department of Industrial and System Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6831-3175","affiliations":[{"raw_affiliation_string":"Department of Industrial and System Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011107678","display_name":"Kai Zhou","orcid":"https://orcid.org/0000-0003-1383-2765"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kai Zhou","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-1383-2765","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047273213"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.7041,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8767449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"907","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9815999865531921,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9409999847412109,"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":0.8351666927337646},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.828689455986023},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7989839315414429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4676468074321747},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4560440182685852},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.450094997882843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4150456190109253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41117969155311584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8351666927337646},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.828689455986023},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7989839315414429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4676468074321747},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4560440182685852},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.450094997882843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4150456190109253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41117969155311584},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2023.3327876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3327876","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3058216973","display_name":null,"funder_award_id":"62106210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7938879815","display_name":null,"funder_award_id":"PolyU25206422","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G794022108","display_name":null,"funder_award_id":"PolyU25210821","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1832221731","https://openalex.org/W2022613648","https://openalex.org/W2029424893","https://openalex.org/W2054141820","https://openalex.org/W2133699849","https://openalex.org/W2523899122","https://openalex.org/W2761091319","https://openalex.org/W2798868970","https://openalex.org/W2890884621","https://openalex.org/W2907492528","https://openalex.org/W2914953695","https://openalex.org/W2954667104","https://openalex.org/W2962907114","https://openalex.org/W2962959715","https://openalex.org/W2963096189","https://openalex.org/W2964015378","https://openalex.org/W2972646741","https://openalex.org/W3007657110","https://openalex.org/W3012794253","https://openalex.org/W3012798016","https://openalex.org/W3013471144","https://openalex.org/W3035298482","https://openalex.org/W3042351158","https://openalex.org/W3048511744","https://openalex.org/W3085807072","https://openalex.org/W3087849807","https://openalex.org/W3096831136","https://openalex.org/W3097300053","https://openalex.org/W3104774544","https://openalex.org/W3119520312","https://openalex.org/W3136856676","https://openalex.org/W3156449551","https://openalex.org/W3156766660","https://openalex.org/W3156833186","https://openalex.org/W3170976035","https://openalex.org/W3171665710","https://openalex.org/W3182668916","https://openalex.org/W3188359402","https://openalex.org/W3192499826","https://openalex.org/W3202472958","https://openalex.org/W4212835176","https://openalex.org/W4221160744","https://openalex.org/W4225539131","https://openalex.org/W4288057808","https://openalex.org/W4288770410","https://openalex.org/W4300532637","https://openalex.org/W4367047184","https://openalex.org/W6604367445","https://openalex.org/W6613483283","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6809948653"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"The":[0],"robustness":[1],"of":[2,29,47],"recommender":[3,18,74,116],"systems":[4,153],"under":[5,82,138],"node":[6],"injection":[7],"attacks":[8,41],"has":[9],"garnered":[10],"significant":[11],"attention.":[12],"Recently,":[13],"GraphRfi,":[14],"a":[15,64,112,120],"Graph-Neural-Network-based":[16],"(GNN-based)":[17],"system,":[19],"was":[20],"proposed":[21],"and":[22,72],"shown":[23],"to":[24,40,43,154],"effectively":[25],"mitigate":[26],"the":[27,44],"impact":[28],"injected":[30],"fake":[31],"users.":[32],"However,":[33],"we":[34,62,77,95],"demonstrate":[35],"that":[36,102,130],"GraphRfi":[37,80],"remains":[38],"vulnerable":[39],"due":[42],"supervised":[45],"nature":[46],"its":[48],"fraudster":[49,99,149],"detection":[50,100,150],"component,":[51],"where":[52],"obtaining":[53],"clean":[54],"labels":[55],"is":[56],"challenging":[57],"in":[58,119],"practice.":[59],"In":[60],"particular,":[61],"propose":[63],"powerful":[65],"poisoning":[66],"attack,":[67],"MetaC,":[68],"against":[69],"both":[70],"GNN-based":[71],"Martix-Faxtorization-based":[73],"systems.":[75],"Furthermore,":[76],"analyze":[78],"why":[79],"fails":[81],"such":[83],"an":[84,97,144],"attack.":[85],"Then,":[86],"based":[87],"on":[88],"our":[89,131,141],"insights":[90],"obtained":[91],"from":[92],"vulnerability":[93],"analysis,":[94],"design":[96],"adaptive":[98],"module":[101,108],"explicitly":[103],"considers":[104],"label":[105],"uncertainty.":[106],"This":[107],"can":[109],"serve":[110],"as":[111],"plug-in":[113],"for":[114,147],"different":[115],"systems,":[117],"resulting":[118],"robust":[121],"framework":[122,146],"named":[123],"Posterior-Detection":[124],"Recommender":[125],"(PDR).":[126],"Comprehensive":[127],"experiments":[128],"show":[129],"defense":[132],"approach":[133],"outperforms":[134],"other":[135],"benchmark":[136],"methods":[137],"attacks.":[139],"Overall,":[140],"research":[142],"presents":[143],"effective":[145],"integrating":[148],"into":[151],"recommendation":[152],"achieve":[155],"adversarial":[156],"robustness.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}