{"id":"https://openalex.org/W4406171890","doi":"https://doi.org/10.1109/tifs.2025.3526067","title":"Enhancing the Transferability of Adversarial Attacks via Multi-Feature Attention","display_name":"Enhancing the Transferability of Adversarial Attacks via Multi-Feature Attention","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406171890","doi":"https://doi.org/10.1109/tifs.2025.3526067"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3526067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3526067","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5101997708","display_name":"Desheng Zheng","orcid":"https://orcid.org/0000-0002-0994-4660"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Desheng Zheng","raw_affiliation_strings":["School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0994-4660","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065035491","display_name":"Wuping Ke","orcid":"https://orcid.org/0000-0003-2068-3198"},"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":"Wuping Ke","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2068-3198","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116337569","display_name":"Xiaoyu Li","orcid":"https://orcid.org/0000-0001-6586-4705"},"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":"Xiaoyu Li","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6586-4705","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018750487","display_name":"Yaoxin Duan","orcid":"https://orcid.org/0000-0002-7243-3978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaoxin Duan","raw_affiliation_strings":["Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7243-3978","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807519","display_name":"Guangqiang Yin","orcid":"https://orcid.org/0000-0003-2178-2147"},"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":"Guangqiang Yin","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2178-2147","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740354","display_name":"Fan Min","orcid":"https://orcid.org/0000-0002-3290-1036"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Min","raw_affiliation_strings":["School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3290-1036","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":35.1754,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.99660296,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"20","issue":null,"first_page":"1462","last_page":"1474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9480000138282776,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9387000203132629,"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/transferability","display_name":"Transferability","score":0.9115289449691772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8595802187919617},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8590285778045654},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6484758853912354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5068204998970032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44206345081329346},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44176238775253296},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41555556654930115},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.41030555963516235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3742574453353882},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3558487892150879},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.11641660332679749}],"concepts":[{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.9115289449691772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8595802187919617},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8590285778045654},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6484758853912354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5068204998970032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44206345081329346},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44176238775253296},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41555556654930115},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41030555963516235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3742574453353882},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3558487892150879},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.11641660332679749},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3526067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3526067","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5791929026","display_name":null,"funder_award_id":"2022FF02","funder_id":"https://openalex.org/F4320336837","funder_display_name":"Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education"},{"id":"https://openalex.org/G8844933060","display_name":null,"funder_award_id":"J2019-V-0001-0092","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336837","display_name":"Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1915485278","https://openalex.org/W1945616565","https://openalex.org/W2010625607","https://openalex.org/W2108598243","https://openalex.org/W2168002178","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2475287302","https://openalex.org/W2570685808","https://openalex.org/W2603766943","https://openalex.org/W2620038827","https://openalex.org/W2738649458","https://openalex.org/W2746600820","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2896078964","https://openalex.org/W2924785549","https://openalex.org/W2962847335","https://openalex.org/W2962858109","https://openalex.org/W2963384482","https://openalex.org/W2963542245","https://openalex.org/W2963857521","https://openalex.org/W2969542116","https://openalex.org/W2976752987","https://openalex.org/W2984699060","https://openalex.org/W2991496458","https://openalex.org/W3034176567","https://openalex.org/W3034619610","https://openalex.org/W3034892461","https://openalex.org/W3106412272","https://openalex.org/W3108341030","https://openalex.org/W3127807678","https://openalex.org/W3171288285","https://openalex.org/W3173859330","https://openalex.org/W3177184533","https://openalex.org/W3186991201","https://openalex.org/W4225859735","https://openalex.org/W4226378932","https://openalex.org/W4285600276","https://openalex.org/W4285606912","https://openalex.org/W4293846201","https://openalex.org/W4312248169","https://openalex.org/W4312648479","https://openalex.org/W4312777424","https://openalex.org/W4312790346","https://openalex.org/W4312940586","https://openalex.org/W4313010394","https://openalex.org/W4319300575","https://openalex.org/W4386076570","https://openalex.org/W4388210669","https://openalex.org/W4388240180","https://openalex.org/W4388726911","https://openalex.org/W4403443791","https://openalex.org/W6630875275","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6731927902","https://openalex.org/W6739868092","https://openalex.org/W6745272055","https://openalex.org/W6746402973","https://openalex.org/W6758684365","https://openalex.org/W6759580348","https://openalex.org/W6761372651","https://openalex.org/W6768366551","https://openalex.org/W6773713311","https://openalex.org/W6785111489","https://openalex.org/W6853649152","https://openalex.org/W6873182418"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W4200630034","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W4392340763","https://openalex.org/W4283325551","https://openalex.org/W4403006689"],"abstract_inverted_index":{"Adversarial":[0],"examples":[1,25,137],"have":[2],"posed":[3],"a":[4,79],"serious":[5],"threat":[6],"to":[7,12,19,63,83,119,147,168,176],"deep":[8],"neural":[9],"networks":[10],"due":[11],"their":[13],"transferability.":[14],"Existing":[15],"transfer-based":[16],"attacks":[17,172],"tend":[18],"improve":[20,69],"the":[21,51,70,73,89,111,124,130,148,155,161],"transferability":[22,71,122],"of":[23,44,60,72,91,123,160],"adversarial":[24,74,125,136],"by":[26,139],"destroying":[27],"intrinsic":[28],"features.":[29,45],"However,":[30],"prior":[31],"work":[32],"typically":[33],"employed":[34],"single-dimensional":[35],"or":[36],"additive":[37],"importance":[38,90],"estimates,":[39],"which":[40,56,87],"provide":[41],"inaccurate":[42],"representations":[43,62],"In":[46],"this":[47],"work,":[48],"we":[49],"propose":[50],"Multi-Feature":[52],"Attention":[53],"Attack":[54],"(MFAA),":[55],"fuses":[57],"multiple":[58,94],"layers":[59],"feature":[61],"disrupt":[64],"category-related":[65],"features":[66,92,104,108],"and":[67,105,173],"thus":[68],"examples.":[75,126],"First,":[76],"MFAA":[77,140],"introduces":[78],"layer-aggregation":[80],"gradient":[81],"(LAG)":[82],"obtain":[84],"guidance":[85,112],"maps,":[86],"reflect":[88],"in":[93],"scales.":[95],"Second,":[96],"it":[97],"generates":[98],"ensemble":[99,179],"attention":[100],"(EA),":[101],"preserving":[102],"object-specific":[103],"offsetting":[106],"model-specific":[107],"based":[109],"on":[110,129,170,178],"maps.":[113],"Third,":[114],"EA":[115],"is":[116,183],"iteratively":[117],"disturbed":[118],"achieve":[120],"high":[121],"Empirical":[127],"evaluation":[128],"standard":[131],"ImageNet":[132],"dataset":[133],"shows":[134],"that":[135],"crafted":[138],"can":[141],"effectively":[142],"attack":[143,153,157],"different":[144],"networks.":[145],"Compared":[146],"state-of-the-art":[149],"transferable":[150],"attacks,":[151],"our":[152],"improves":[154],"average":[156],"success":[158],"rate":[159],"black-box":[162],"model":[163],"with":[164],"defense":[165],"from":[166,174],"88.5%":[167],"94.1%":[169],"single-model":[171],"86.6%":[175],"95.1%":[177],"attacks.":[180],"Our":[181],"code":[182],"available":[184],"at":[185],"Github:":[186],"https://github.com/KWPCCC/MFAA.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":12}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
