{"id":"https://openalex.org/W4403582410","doi":"https://doi.org/10.1145/3627673.3679862","title":"Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective","display_name":"Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582410","doi":"https://doi.org/10.1145/3627673.3679862"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-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/A5046746847","display_name":"Dandan Ni","orcid":"https://orcid.org/0009-0001-6781-8072"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dandan Ni","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103913431","display_name":"Sheng Zhang","orcid":"https://orcid.org/0009-0005-1249-8429"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079370041","display_name":"Chenglong Deng","orcid":"https://orcid.org/0000-0003-3459-7151"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"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":"Cong Deng","raw_affiliation_strings":["Institute of Software, University of Chinese Academy of Sciences, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software, University of Chinese Academy of Sciences, Hangzhou, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029498141","display_name":"Han Liu","orcid":"https://orcid.org/0000-0001-6921-2050"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389286","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0002-7483-0045"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["Database Laboratory, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Database Laboratory, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000534132","display_name":"Minhao Cheng","orcid":"https://orcid.org/0000-0003-3965-4215"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minhao Cheng","raw_affiliation_strings":["The Pennsylvania State University, University Park, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008473103","display_name":"Hongyang Chen","orcid":"https://orcid.org/0000-0002-7626-0162"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Chen","raw_affiliation_strings":["Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5046746847"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":0.7376,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7721624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1785","last_page":"1794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/robustness","display_name":"Robustness (evolution)","score":0.7915245294570923},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6774031519889832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6157112717628479},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3500654697418213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2303929328918457},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08131727576255798}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7915245294570923},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6774031519889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6157112717628479},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3500654697418213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2303929328918457},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08131727576255798},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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:10.1145/3627673.3679862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-158172","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-158172","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong 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/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2008857988","https://openalex.org/W2243397390","https://openalex.org/W2543927648","https://openalex.org/W2803831897","https://openalex.org/W2907492528","https://openalex.org/W2908442265","https://openalex.org/W2914721378","https://openalex.org/W2949208225","https://openalex.org/W2951823788","https://openalex.org/W2999905431","https://openalex.org/W3012846134","https://openalex.org/W3022945404","https://openalex.org/W3081203761","https://openalex.org/W3081325717","https://openalex.org/W3098276446","https://openalex.org/W3099825604","https://openalex.org/W3106390645","https://openalex.org/W3116202926","https://openalex.org/W3160274714","https://openalex.org/W3170068709","https://openalex.org/W3171131018","https://openalex.org/W3172780638","https://openalex.org/W3174884678","https://openalex.org/W3198375173","https://openalex.org/W4283818432","https://openalex.org/W4306317025","https://openalex.org/W4313679604","https://openalex.org/W4382240025","https://openalex.org/W6782272117"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2149537132","https://openalex.org/W2376932109","https://openalex.org/W2018871932"],"abstract_inverted_index":{"Recently,":[0],"graph":[1],"neural":[2],"networks":[3],"(GNNs)":[4],"have":[5],"demonstrated":[6],"outstanding":[7],"performance":[8],"in":[9,22,44,120,127],"fundamental":[10],"tasks":[11],"such":[12],"as":[13,19,21],"node":[14,112],"classification":[15],"and":[16,30,61,76,144,173],"link":[17],"prediction,":[18],"well":[20],"specialized":[23],"domains":[24],"like":[25],"recommendation":[26],"systems,":[27],"fraud":[28],"detection,":[29],"drug":[31],"discovery.":[32],"However,":[33],"their":[34,42],"vulnerability":[35],"to":[36,96],"adversarial":[37],"attacks":[38],"raises":[39],"concerns":[40],"about":[41],"reliability":[43],"security-critical":[45],"areas.":[46],"To":[47],"address":[48],"this":[49,88,128],"issue,":[50],"researchers":[51],"are":[52,68],"exploring":[53],"various":[54],"defense":[55],"methods,":[56],"including":[57],"specific":[58],"attack":[59,74,135],"countermeasures":[60],"certifiable":[62],"robustness":[63,99,126],"approaches.":[64],"Nevertheless,":[65],"these":[66],"strategies":[67],"often":[69],"effective":[70],"only":[71],"against":[72,103],"limited":[73],"scenarios,":[75],"prevailing":[77],"certification":[78],"methods":[79],"prove":[80],"inadequate":[81],"when":[82],"confronted":[83],"with":[84,147,176],"injection":[85],"attacks.":[86],"In":[87],"paper,":[89],"we":[90,164],"propose":[91],"a":[92,118,133,159],"method":[93,168],"named":[94],"CERT_UIA":[95],"enhance":[97],"the":[98,108,121,139,142,153],"of":[100,110,141,155],"GNN":[101],"models":[102],"worst-case":[104,156],"attacks,":[105],"specifically":[106],"targeting":[107],"scenario":[109],"<u>U</u>niversal":[111],"<u>I</u>njection":[113],"<u>A</u>ttacks":[114],"(UIA),":[115],"thereby":[116],"filling":[117],"gap":[119],"existing":[122,177],"literature":[123],"on":[124,169],"certified":[125,178],"context.":[129],"Our":[130],"approach":[131],"involves":[132],"two-stage":[134],"process":[136],"that":[137],"replaces":[138],"transformations":[140],"topology":[143],"feature":[145,150,161],"spaces":[146],"equivalent":[148],"unified":[149],"transformations,":[151],"unifying":[152],"optimization":[154],"perturbations":[157],"into":[158],"single":[160],"space.":[162],"Furthermore,":[163],"empirically":[165],"evaluate":[166],"our":[167],"several":[170],"benchmark":[171],"datasets":[172],"compare":[174],"it":[175],"methods.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}