{"id":"https://openalex.org/W4402916981","doi":"https://doi.org/10.1109/icip51287.2024.10647714","title":"Efficient Black-Box Adversarial Attack on Deep Clustering Models","display_name":"Efficient Black-Box Adversarial Attack on Deep Clustering Models","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916981","doi":"https://doi.org/10.1109/icip51287.2024.10647714"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647714","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647714","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 Image Processing (ICIP)","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/A5072808499","display_name":"Nan Yang","orcid":"https://orcid.org/0000-0002-2621-8927"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672512","display_name":"Zihan Li","orcid":"https://orcid.org/0000-0003-3516-4892"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Li","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363499","display_name":"Zhen Long","orcid":"https://orcid.org/0000-0001-8188-7966"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Long","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103747640","display_name":"Xiaolin Huang","orcid":"https://orcid.org/0000-0002-3136-9279"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Huang","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610065","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0003-2084-8781"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communications Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072808499"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14440777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1044","last_page":"1049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9975000023841858,"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":0.9975000023841858,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9894000291824341,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9129999876022339,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7864032983779907},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.7022609114646912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6881453394889832},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6622461080551147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4181942343711853},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37340110540390015}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7864032983779907},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.7022609114646912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881453394889832},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6622461080551147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4181942343711853},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37340110540390015}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647714","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647714","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 Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":23,"referenced_works":["https://openalex.org/W2121947440","https://openalex.org/W2136922672","https://openalex.org/W2603766943","https://openalex.org/W2754384272","https://openalex.org/W2997293639","https://openalex.org/W3035067471","https://openalex.org/W3109877713","https://openalex.org/W3110446398","https://openalex.org/W3137513727","https://openalex.org/W3169314462","https://openalex.org/W4213044495","https://openalex.org/W4214510096","https://openalex.org/W4295136046","https://openalex.org/W4322504919","https://openalex.org/W6640425456","https://openalex.org/W6677919164","https://openalex.org/W6678914141","https://openalex.org/W6684191040","https://openalex.org/W6747027214","https://openalex.org/W6747536865","https://openalex.org/W6787972765","https://openalex.org/W6809825888","https://openalex.org/W6846090181"],"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/W3009622996","https://openalex.org/W3037859390"],"abstract_inverted_index":{"Despite":[0],"the":[1,49,68,73,86,93,99,113,129],"significant":[2],"progress":[3],"made":[4],"by":[5],"deep":[6,25,44,53,64,81,95,106],"clustering":[7,26,45,54,65,82,96,107,120],"models":[8,108],"in":[9,118],"high-dimensional":[10],"data":[11],"processing,":[12],"they":[13],"remain":[14],"vulnerable":[15],"to":[16,29,72,90],"adversarial":[17,22],"examples.":[18],"However,":[19],"research":[20],"on":[21,43,103],"attacks":[23],"against":[24],"algorithms":[27],"appears":[28],"be":[30],"relatively":[31],"underexplored.":[32],"To":[33],"fill":[34],"this":[35],"gap,":[36],"we":[37,57,84],"propose":[38],"a":[39,59,62],"query-efficient":[40],"black-box":[41],"attack":[42],"models,":[46],"which":[47],"leverages":[48],"transferability":[50],"between":[51],"different":[52],"models.":[55],"Initially,":[56],"train":[58],"generator":[60],"using":[61],"substitute":[63,94],"model,":[66,83],"reducing":[67],"number":[69],"of":[70,115,131],"queries":[71],"target":[74,87],"model.":[75],"Subsequently,":[76],"when":[77],"targeting":[78],"an":[79],"unknown":[80],"employ":[85],"query":[88],"information":[89],"update":[91],"both":[92],"model":[97],"and":[98],"generator.":[100],"Experimental":[101],"evaluations":[102],"four":[104],"state-of-the-art":[105],"across":[109],"three":[110],"datasets":[111],"demonstrate":[112],"efficacy":[114],"our":[116,126],"method":[117],"disrupting":[119],"performance.":[121],"The":[122],"results":[123],"indicate":[124],"that":[125],"approach":[127],"surpasses":[128],"performance":[130],"existing":[132],"methods.":[133]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}