{"id":"https://openalex.org/W4400034193","doi":"https://doi.org/10.1109/eais58494.2024.10569101","title":"Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning","display_name":"Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning","publication_year":2024,"publication_date":"2024-05-23","ids":{"openalex":"https://openalex.org/W4400034193","doi":"https://doi.org/10.1109/eais58494.2024.10569101"},"language":"en","primary_location":{"id":"doi:10.1109/eais58494.2024.10569101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais58494.2024.10569101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","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/A5028816999","display_name":"Mohammed Aburidi","orcid":"https://orcid.org/0009-0008-9240-4796"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammed Aburidi","raw_affiliation_strings":["University of California Merced,Department of Applied Mathematics,Merced,CA,USA,95343"],"affiliations":[{"raw_affiliation_string":"University of California Merced,Department of Applied Mathematics,Merced,CA,USA,95343","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005703929","display_name":"Roummel F. Marcia","orcid":"https://orcid.org/0000-0001-6838-140X"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roummel Marcia","raw_affiliation_strings":["University of California Merced,Department of Applied Mathematics,Merced,CA,USA,95343"],"affiliations":[{"raw_affiliation_string":"University of California Merced,Department of Applied Mathematics,Merced,CA,USA,95343","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028816999"],"corresponding_institution_ids":["https://openalex.org/I156087764"],"apc_list":null,"apc_paid":null,"fwci":2.1822,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88965307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9932000041007996,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9115999937057495,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7437726259231567},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6518133878707886},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5392040610313416},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5088139176368713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4376005232334137},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41140875220298767},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40512993931770325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3973655104637146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437726259231567},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6518133878707886},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5392040610313416},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5088139176368713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4376005232334137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41140875220298767},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40512993931770325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3973655104637146}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eais58494.2024.10569101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais58494.2024.10569101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1904365287","https://openalex.org/W1945616565","https://openalex.org/W2152284345","https://openalex.org/W2153959628","https://openalex.org/W2162630660","https://openalex.org/W2166107799","https://openalex.org/W2257439149","https://openalex.org/W2606780347","https://openalex.org/W2803831897","https://openalex.org/W2884561390","https://openalex.org/W2892247084","https://openalex.org/W2893554781","https://openalex.org/W2899157217","https://openalex.org/W2914953695","https://openalex.org/W2920066904","https://openalex.org/W2948612734","https://openalex.org/W2950448984","https://openalex.org/W2962711740","https://openalex.org/W2964015378","https://openalex.org/W2964283260","https://openalex.org/W2964971928","https://openalex.org/W2965972342","https://openalex.org/W2972798399","https://openalex.org/W3013520104","https://openalex.org/W3025863369","https://openalex.org/W3098276446","https://openalex.org/W3101158652","https://openalex.org/W4250589301","https://openalex.org/W4289533857","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4386598569","https://openalex.org/W4392942787","https://openalex.org/W4395030012","https://openalex.org/W4400526751","https://openalex.org/W6640036494","https://openalex.org/W6640425456","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6751569023","https://openalex.org/W6754929296","https://openalex.org/W6755038706","https://openalex.org/W6755124781","https://openalex.org/W6755292415","https://openalex.org/W6759698190","https://openalex.org/W6763554540","https://openalex.org/W6763801621","https://openalex.org/W6766954967","https://openalex.org/W6768060678","https://openalex.org/W6768492035","https://openalex.org/W6777386883","https://openalex.org/W6785858835","https://openalex.org/W6861280826"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4390421286","https://openalex.org/W2482350142","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W4206951940","https://openalex.org/W4382602594","https://openalex.org/W4387850423"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"have":[4],"demonstrated":[5],"significant":[6,146],"success":[7],"across":[8],"diverse":[9],"domains":[10],"like":[11],"social":[12],"and":[13,50,102],"biological":[14],"networks.":[15,152],"However,":[16],"their":[17],"susceptibility":[18],"to":[19,35,47,69,78,95,107,164,172],"adversarial":[20,179],"attacks":[21,63,119,154],"presents":[22],"substantial":[23],"risks":[24],"in":[25,52,84,144,181],"security-sensitive":[26],"contexts.":[27],"Even":[28],"imperceptible":[29],"perturbations":[30,142],"within":[31,123],"graphs":[32],"can":[33],"lead":[34],"considerable":[36],"performance":[37,147],"degradation,":[38],"highlighting":[39],"the":[40,80,90,109,124,129,165,174],"urgent":[41],"need":[42],"for":[43,149],"robust":[44],"GNN":[45],"models":[46],"ensure":[48],"safety":[49],"privacy":[51],"critical":[53],"applications.":[54],"To":[55],"address":[56],"this":[57],"challenge,":[58],"we":[59],"propose":[60],"training-time":[61,85],"optimization-based":[62],"on":[64,114],"GNNs,":[65],"specifically":[66],"targeting":[67],"modifications":[68],"graph":[70,91,141,150],"structures.":[71],"Our":[72,134,153],"approach":[73],"revolves":[74],"around":[75],"utilizing":[76],"meta-gradients":[77],"tackle":[79],"two-level":[81],"problem":[82],"inherent":[83],"attacks.":[86,110],"This":[87,168],"involves":[88],"treating":[89],"as":[92],"a":[93,145],"hyperparameter":[94],"optimize,":[96],"followed":[97],"by":[98],"leveraging":[99],"convex":[100],"relaxation":[101],"projected":[103],"momentum":[104],"optimization":[105],"techniques":[106],"generate":[108],"In":[111],"our":[112,118,132],"evaluation":[113],"node":[115],"classification":[116],"tasks,":[117],"surpass":[120],"state-of-the-art":[121],"methods":[122],"same":[125],"perturbation":[126],"budget,":[127],"underscoring":[128],"effectiveness":[130],"of":[131,161,176],"approach.":[133],"experiments":[135],"consistently":[136],"demonstrate":[137],"that":[138],"even":[139],"minor":[140],"result":[143],"decline":[148],"convolutional":[151],"do":[155],"not":[156],"require":[157],"any":[158],"prior":[159],"knowledge":[160],"or":[162],"access":[163],"target":[166],"classifiers.":[167],"research":[169],"contributes":[170],"significantly":[171],"bolstering":[173],"resilience":[175],"GNNs":[177],"against":[178],"manipulations":[180],"real-world":[182],"scenarios.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}