{"id":"https://openalex.org/W7125943972","doi":"https://doi.org/10.1109/smc58881.2025.11343442","title":"Bipartite Graph Black-Box Adversarial Attacks Based on Implicit Relations","display_name":"Bipartite Graph Black-Box Adversarial Attacks Based on Implicit Relations","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125943972","doi":"https://doi.org/10.1109/smc58881.2025.11343442"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019923149","display_name":"Bowen Deng","orcid":"https://orcid.org/0000-0003-1447-842X"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Deng","raw_affiliation_strings":["Sichuan Normal University,School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,School of Computer Science","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124082296","display_name":"Lin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Feng","raw_affiliation_strings":["Sichuan Normal University,School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,School of Computer Science","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007461060","display_name":"Shuo Qin","orcid":"https://orcid.org/0000-0002-3535-3143"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Qin","raw_affiliation_strings":["Sichuan Normal University,School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,School of Computer Science","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101244957","display_name":"Fancheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fancheng Yang","raw_affiliation_strings":["Sichuan Normal University,School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,School of Computer Science","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124131324","display_name":"Siwen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwen Li","raw_affiliation_strings":["Sichuan Normal University,School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,School of Computer Science","institution_ids":["https://openalex.org/I63354593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63354593"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2870","last_page":"2877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9370999932289124,"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":0.9370999932289124,"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":0.034699998795986176,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.003000000026077032,"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/bipartite-graph","display_name":"Bipartite graph","score":0.9108999967575073},{"id":"https://openalex.org/keywords/complete-bipartite-graph","display_name":"Complete bipartite graph","score":0.5080000162124634},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45739999413490295},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.424699991941452},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.4124999940395355},{"id":"https://openalex.org/keywords/edge-transitive-graph","display_name":"Edge-transitive graph","score":0.3772999942302704},{"id":"https://openalex.org/keywords/clique-width","display_name":"Clique-width","score":0.3709999918937683},{"id":"https://openalex.org/keywords/foster-graph","display_name":"Foster graph","score":0.29179999232292175}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.9108999967575073},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5745000243186951},{"id":"https://openalex.org/C134119311","wikidata":"https://www.wikidata.org/wiki/Q913598","display_name":"Complete bipartite graph","level":4,"score":0.5080000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47429999709129333},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.424699991941452},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.4124999940395355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4036000072956085},{"id":"https://openalex.org/C200597783","wikidata":"https://www.wikidata.org/wiki/Q4391289","display_name":"Edge-transitive graph","level":5,"score":0.3772999942302704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3716000020503998},{"id":"https://openalex.org/C5737132","wikidata":"https://www.wikidata.org/wiki/Q1101814","display_name":"Clique-width","level":5,"score":0.3709999918937683},{"id":"https://openalex.org/C68996132","wikidata":"https://www.wikidata.org/wiki/Q3115485","display_name":"Foster graph","level":5,"score":0.29179999232292175},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.26910001039505005},{"id":"https://openalex.org/C2779773260","wikidata":"https://www.wikidata.org/wiki/Q11246292","display_name":"Signed graph","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C128115575","wikidata":"https://www.wikidata.org/wiki/Q5597083","display_name":"Graph factorization","level":5,"score":0.26440000534057617},{"id":"https://openalex.org/C202183611","wikidata":"https://www.wikidata.org/wiki/Q7520883","display_name":"Simplex graph","level":5,"score":0.25999999046325684},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.25949999690055847},{"id":"https://openalex.org/C13251829","wikidata":"https://www.wikidata.org/wiki/Q3085841","display_name":"Dense graph","level":5,"score":0.2583000063896179},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.457093745470047}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2148835469","https://openalex.org/W2154851992","https://openalex.org/W2328720669","https://openalex.org/W2492695942","https://openalex.org/W2743104969","https://openalex.org/W2767597557","https://openalex.org/W2799012401","https://openalex.org/W2803831897","https://openalex.org/W2899157217","https://openalex.org/W2962805116","https://openalex.org/W2964971928","https://openalex.org/W2997404190","https://openalex.org/W3117298090","https://openalex.org/W3165692226","https://openalex.org/W3209485964","https://openalex.org/W4290875619","https://openalex.org/W4291474301","https://openalex.org/W4295530086","https://openalex.org/W4295921726"],"related_works":[],"abstract_inverted_index":{"Bipartite":[0,47],"graph":[1,24,48,68,109,113,142],"representation":[2,25],"learning":[3,26],"has":[4],"been":[5],"successfully":[6],"applied":[7],"in":[8,35,38,65],"downstream":[9,39,121],"applications":[10],"such":[11],"as":[12],"link":[13],"prediction":[14],"and":[15,62,91,155],"recommendation":[16],"tasks.":[17,40],"However,":[18],"the":[19,60,66,71,78,84,93,99,106,118,125,128,138,146],"performance":[20,139],"of":[21,87,127,140,148],"existing":[22],"bipartite":[23,67,108,112,141,149],"models":[27],"is":[28],"extremely":[29],"vulnerable":[30],"to":[31,69,82,110,123],"adversarial":[32,50],"perturbations,":[33],"resulting":[34],"incorrect":[36],"predictions":[37],"To":[41],"address":[42],"this":[43],"issue,":[44],"we":[45,58,76,103],"propose":[46],"Black-box":[49],"Attack":[51],"based":[52],"on":[53,105],"Implicit":[54],"relations":[55,64],"(BBAI).":[56],"First,":[57],"extract":[59],"explicit":[61],"implicit":[63],"generate":[70,111],"entity":[72],"relationship":[73],"matrix.":[74],"Then,":[75],"apply":[77],"Feature":[79],"Perturbation":[80],"Theory":[81],"calculate":[83],"perturbation":[85],"score":[86],"each":[88],"candidate":[89,96],"edge":[90],"flip":[92],"top":[94],"few":[95],"edges":[97],"with":[98],"highest":[100],"scores.":[101],"Finally,":[102],"train":[104],"perturbed":[107],"node":[114],"embeddings.":[115,129],"We":[116],"use":[117],"embeddings":[119,143],"for":[120],"tasks":[122],"evaluate":[124],"quality":[126],"Experimental":[130],"results":[131],"show":[132],"that":[133],"BBAI":[134],"can":[135],"significantly":[136],"disrupt":[137],"by":[144],"perturbing":[145],"structure":[147],"graphs.":[150],"Supplemental":[151],"materials":[152],"including":[153],"code":[154],"data":[156],"are":[157],"available":[158],"at":[159],"https://github.com/DengBW-1998/BBAI.":[160]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-29T00:00:00"}
