{"id":"https://openalex.org/W4387848675","doi":"https://doi.org/10.1145/3583780.3614903","title":"GUARD: Graph Universal Adversarial Defense","display_name":"GUARD: Graph Universal Adversarial Defense","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848675","doi":"https://doi.org/10.1145/3583780.3614903"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd 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/A5018091726","display_name":"Jintang Li","orcid":"https://orcid.org/0000-0002-6405-1531"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jintang Li","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103142368","display_name":"Jie Liao","orcid":"https://orcid.org/0000-0002-1361-5325"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liao","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064942736","display_name":"Ruofan Wu","orcid":"https://orcid.org/0000-0002-2005-6058"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruofan Wu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092354626","display_name":"Liang Chen","orcid":"https://orcid.org/0009-0005-9682-0672"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030186937","display_name":"Jiawang Dan","orcid":"https://orcid.org/0000-0002-4735-5488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawang Dan","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005372125","display_name":"Changhua Meng","orcid":"https://orcid.org/0000-0001-8992-9833"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changhua Meng","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080477405","display_name":"Weiqiang Wang","orcid":"https://orcid.org/0000-0002-6159-619X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiqiang Wang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5018091726"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.3917,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85230292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1198","last_page":"1207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9472000002861023,"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/adversarial-system","display_name":"Adversarial system","score":0.8947646617889404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261351346969604},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5885944962501526},{"id":"https://openalex.org/keywords/guard","display_name":"Guard (computer science)","score":0.5513878464698792},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4969790279865265},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43486273288726807},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3472698926925659},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3409646153450012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2609270513057709}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8947646617889404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261351346969604},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5885944962501526},{"id":"https://openalex.org/C141141315","wikidata":"https://www.wikidata.org/wiki/Q2379942","display_name":"Guard (computer science)","level":2,"score":0.5513878464698792},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4969790279865265},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43486273288726807},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3472698926925659},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3409646153450012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2609270513057709},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3614903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2153959628","https://openalex.org/W2626967530","https://openalex.org/W2803831897","https://openalex.org/W2964583308","https://openalex.org/W2964971928","https://openalex.org/W2966149470","https://openalex.org/W3009901425","https://openalex.org/W3011667710","https://openalex.org/W3081203761","https://openalex.org/W3094605801","https://openalex.org/W3098276446","https://openalex.org/W3099064659","https://openalex.org/W3114928288","https://openalex.org/W3153325943","https://openalex.org/W3160274714","https://openalex.org/W3189215930","https://openalex.org/W3190041646","https://openalex.org/W3191468964","https://openalex.org/W4302807824","https://openalex.org/W4312940140","https://openalex.org/W6739651123"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Graph":[0,131],"convolutional":[1],"networks":[2],"(GCNs)":[3],"have":[4,35],"been":[5,36],"shown":[6],"to":[7,10,38,54,69,159,170,175,186],"be":[8,157],"vulnerable":[9],"small":[11],"adversarial":[12,45,59,78,207],"perturbations,":[13],"which":[14,151],"becomes":[15],"a":[16,30,81,125,147,164],"severe":[17],"threat":[18],"and":[19,61,85,102,155,182,209],"largely":[20],"limits":[21],"their":[22],"applications":[23],"in":[24,90,163],"security-critical":[25],"scenarios.":[26],"To":[27],"mitigate":[28],"such":[29],"threat,":[31],"considerable":[32],"research":[33],"efforts":[34],"devoted":[37],"increasing":[39],"the":[40,96,115],"robustness":[41,84,200],"of":[42,118],"GCNs":[43,56,204],"against":[44,110,205],"attacks.":[46,79],"However,":[47],"current":[48],"defense":[49,212],"approaches":[50],"are":[51],"typically":[52],"designed":[53],"prevent":[55],"from":[57,74,144],"untargeted":[58],"attacks":[60,145,208],"focus":[62],"on":[63,191],"overall":[64,116],"performance,":[65],"making":[66],"it":[67],"challenging":[68],"protect":[70],"important":[71],"local":[72,108],"nodes":[73,109],"more":[75],"powerful":[76],"targeted":[77,111],"Additionally,":[80],"trade-off":[82],"between":[83],"performance":[86,117],"is":[87,152,167,183],"often":[88],"made":[89],"existing":[91],"research.":[92],"Such":[93],"limitations":[94],"highlight":[95],"need":[97],"for":[98,201],"developing":[99],"an":[100],"effective":[101,128],"efficient":[103],"approach":[104],"that":[105,196],"can":[106,156],"defend":[107],"attacks,":[112],"without":[113,172],"compromising":[114],"GCNs.":[119,188],"In":[120],"this":[121],"work,":[122],"we":[123],"present":[124],"simple":[126],"yet":[127],"method,":[129],"named":[130],"Universal":[132],"AdveRsarial":[133],"Defense":[134],"(GUARD).":[135],"Unlike":[136],"previous":[137],"works,":[138],"GUARD":[139,166,197],"protects":[140],"each":[141],"individual":[142],"node":[143,161],"with":[146],"universal":[148],"defensive":[149],"patch,":[150],"generated":[153],"once":[154],"applied":[158],"any":[160,173,179,187],"(node-agnostic)":[162],"graph.":[165],"fast,":[168],"straightforward":[169],"implement":[171],"change":[174],"network":[176],"architecture":[177],"nor":[178],"additional":[180],"parameters,":[181],"broadly":[184],"applicable":[185],"Extensive":[189],"experiments":[190],"four":[192],"benchmark":[193],"datasets":[194],"demonstrate":[195],"significantly":[198],"improves":[199],"several":[202],"established":[203],"multiple":[206],"outperforms":[210],"state-of-the-art":[211],"methods":[213],"by":[214],"large":[215],"margins.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}