{"id":"https://openalex.org/W4313141826","doi":"https://doi.org/10.1109/cvpr52688.2022.01456","title":"Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability","display_name":"Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4313141826","doi":"https://doi.org/10.1109/cvpr52688.2022.01456"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52688.2022.01456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.01456","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5101804539","display_name":"Yifeng Xiong","orcid":"https://orcid.org/0000-0002-5496-7490"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Xiong","raw_affiliation_strings":["Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079317086","display_name":"Jiadong Lin","orcid":"https://orcid.org/0000-0002-8116-5901"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadong Lin","raw_affiliation_strings":["Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402983","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-1938-2902"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043211393","display_name":"John E. Hopcroft","orcid":"https://orcid.org/0000-0001-8681-6075"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John E. Hopcroft","raw_affiliation_strings":["Cornell University,Department of Computer Science,Ithaca,NY,USA","Department of Computer Science, Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Department of Computer Science,Ithaca,NY,USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033526822","display_name":"Kun He","orcid":"https://orcid.org/0000-0001-7627-4604"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun He","raw_affiliation_strings":["Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Department of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14963","last_page":"14972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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":0.9787999987602234,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.944100022315979,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7810516953468323},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6618452072143555},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6241718530654907},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5850034356117249},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.531658411026001},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5120812058448792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5049436688423157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48984190821647644},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4213344156742096},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17491552233695984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810516953468323},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6618452072143555},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6241718530654907},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5850034356117249},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.531658411026001},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5120812058448792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5049436688423157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48984190821647644},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4213344156742096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17491552233695984},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52688.2022.01456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.01456","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G4326743114","display_name":null,"funder_award_id":"62076105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":34,"referenced_works":["https://openalex.org/W2107438106","https://openalex.org/W2180612164","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2543927648","https://openalex.org/W2570685808","https://openalex.org/W2603766943","https://openalex.org/W2607219512","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2963001136","https://openalex.org/W2963143631","https://openalex.org/W2963384482","https://openalex.org/W2963542245","https://openalex.org/W2963771536","https://openalex.org/W2963857521","https://openalex.org/W2969542116","https://openalex.org/W2996455429","https://openalex.org/W3034190247","https://openalex.org/W3102720581","https://openalex.org/W3103340107","https://openalex.org/W3108341030","https://openalex.org/W3127807678","https://openalex.org/W3171288285","https://openalex.org/W3175985367","https://openalex.org/W4293846201","https://openalex.org/W6676105031","https://openalex.org/W6719080892","https://openalex.org/W6731927902","https://openalex.org/W6739868092","https://openalex.org/W6745272055","https://openalex.org/W6748475379","https://openalex.org/W6771159086","https://openalex.org/W6774549192"],"related_works":["https://openalex.org/W2905156999","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W1987518466","https://openalex.org/W3135046080","https://openalex.org/W3023033471","https://openalex.org/W2014852328","https://openalex.org/W2794896638","https://openalex.org/W2809161969","https://openalex.org/W2891633941"],"abstract_inverted_index":{"The":[0],"black-box":[1,77],"adversarial":[2,49,68,183],"attack":[3,61,69,83,109,140],"has":[4],"attracted":[5],"impressive":[6],"attention":[7],"for":[8,50,76],"its":[9],"practical":[10],"use":[11],"in":[12,117],"the":[13,30,37,42,60,66,94,98,106,119,122,143,153,157,165,171,177,182],"field":[14],"of":[15,36,81,96,121,156,164],"deep":[16],"learning":[17],"security.":[18],"Meanwhile,":[19],"it":[20,54],"is":[21,26,55,192],"very":[22],"challenging":[23],"as":[24,110],"there":[25],"no":[27],"access":[28],"to":[29,58,63,129],"network":[31],"architecture":[32],"or":[33],"internal":[34],"weights":[35],"target":[38],"model.":[39],"Based":[40],"on":[41,124,170],"hypothesis":[43],"that":[44,176],"if":[45],"an":[46],"example":[47],"remains":[48],"multiple":[51],"models,":[52,65],"then":[53],"more":[56],"likely":[57],"transfer":[59],"capability":[62],"other":[64],"ensemble-based":[67],"methods":[70],"are":[71,84],"efficient":[72],"and":[73,88,160,185],"widely":[74],"used":[75],"attacks.":[78],"However,":[79],"ways":[80],"ensemble":[82,90,108,147,158,166,188],"rather":[85],"less":[86],"investigated,":[87],"existing":[89,187],"attacks":[91,189],"simply":[92],"fuse":[93],"outputs":[95],"all":[97],"models":[99,126,159],"evenly.":[100],"In":[101],"this":[102,134],"work,":[103],"we":[104,136],"treat":[105],"iterative":[107],"a":[111,138],"stochastic":[112,144],"gradient":[113,154],"descent":[114],"optimization":[115],"process,":[116],"which":[118,150],"variance":[120,145,155],"gradients":[123],"different":[125],"may":[127],"lead":[128],"poor":[130],"local":[131],"optima.":[132],"To":[133],"end,":[135],"propose":[137],"novel":[139],"method":[141,179],"called":[142],"reduced":[146],"(SVRE)":[148],"attack,":[149],"could":[151,180],"reduce":[152],"take":[161],"full":[162],"advantage":[163],"attack.":[167],"Empirical":[168],"results":[169],"standard":[172],"ImageNet":[173],"dataset":[174],"demonstrate":[175],"proposed":[178],"boost":[181],"transferability":[184],"outperforms":[186],"significantly.":[190],"Code":[191],"available":[193],"at":[194],"https://github.com/JHL-HUST/SVRE.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}