{"id":"https://openalex.org/W4414270775","doi":"https://doi.org/10.1109/tifs.2025.3611148","title":"Data-Centric Robust Training for Defending Against Transfer-Based Adversarial Attacks","display_name":"Data-Centric Robust Training for Defending Against Transfer-Based Adversarial Attacks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414270775","doi":"https://doi.org/10.1109/tifs.2025.3611148"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3611148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3611148","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/A5055599925","display_name":"Yulong Yang","orcid":"https://orcid.org/0009-0007-9738-8417"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Yang","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0007-9738-8417","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102960235","display_name":"Ruiqi Cao","orcid":"https://orcid.org/0000-0002-9160-0911"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Cao","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718017","display_name":"Xiang Ji","orcid":"https://orcid.org/0000-0002-7234-6460"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ji","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113025263","display_name":"Qiwei Tian","orcid":"https://orcid.org/0000-0003-4575-292X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Tian","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4575-292X","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046723920","display_name":"Chenhao Lin","orcid":"https://orcid.org/0000-0002-6265-7345"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhao Lin","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6265-7345","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058084433","display_name":"Zhengyu Zhao","orcid":"https://orcid.org/0000-0003-0745-4294"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyu Zhao","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-0745-4294","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114429889","display_name":"Qian Li","orcid":"https://orcid.org/0000-0002-1073-7810"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-1073-7810","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015605020","display_name":"Le Yang","orcid":"https://orcid.org/0000-0001-8379-4915"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Yang","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-8379-4915","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113333643","display_name":"Hongshan Yang","orcid":"https://orcid.org/0000-0002-5899-0962"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongshan Yang","raw_affiliation_strings":["School of Cyber Science and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5899-0962","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101843177","display_name":"Chao Shen","orcid":"https://orcid.org/0000-0002-6959-0569"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Shen","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6959-0569","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85959062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"20","issue":null,"first_page":"10275","last_page":"10287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9639999866485596,"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/adversarial-system","display_name":"Adversarial system","score":0.9433000087738037},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8417999744415283},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.710099995136261},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.461899995803833},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.3571999967098236},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.34769999980926514},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3346000015735626}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9433000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.866599977016449},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8417999744415283},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.710099995136261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5817999839782715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5217999815940857},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.461899995803833},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4345000088214874},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2540999948978424},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3611148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3611148","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/G2528846581","display_name":null,"funder_award_id":"62161160337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3133778110","display_name":null,"funder_award_id":"62376210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4208651041","display_name":null,"funder_award_id":"T2341003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6034313629","display_name":null,"funder_award_id":"U21B2018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7155321176","display_name":null,"funder_award_id":"62132011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7948491709","display_name":null,"funder_award_id":"62206217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8983850641","display_name":null,"funder_award_id":"U24B20185","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":30,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2603766943","https://openalex.org/W2746600820","https://openalex.org/W2774644650","https://openalex.org/W2889985731","https://openalex.org/W2962847335","https://openalex.org/W2963855547","https://openalex.org/W2964137095","https://openalex.org/W2984699060","https://openalex.org/W3103836116","https://openalex.org/W3107235539","https://openalex.org/W3127807678","https://openalex.org/W3186991201","https://openalex.org/W4226239489","https://openalex.org/W4304701424","https://openalex.org/W4312648479","https://openalex.org/W4312790346","https://openalex.org/W4382469234","https://openalex.org/W4386065604","https://openalex.org/W4386076145","https://openalex.org/W4390872450","https://openalex.org/W4391406907","https://openalex.org/W4400771068","https://openalex.org/W4402727751","https://openalex.org/W4405304484","https://openalex.org/W4406085118","https://openalex.org/W4406983109","https://openalex.org/W4411244506"],"related_works":[],"abstract_inverted_index":{"Transfer-based":[0],"adversarial":[1,54,107],"attacks":[2],"pose":[3],"a":[4],"severe":[5],"threat":[6],"to":[7,18,73,111],"real-world":[8],"deep":[9],"learning":[10],"systems":[11],"since":[12],"they":[13],"do":[14],"not":[15],"require":[16],"access":[17],"target":[19],"models.":[20],"Adversarial":[21],"training":[22,60,86,163],"(AT),":[23],"which":[24],"is":[25,71,87],"recognized":[26],"as":[27,89,161],"the":[28,58,113,142],"most":[29],"effective":[30],"defense":[31,94,144],"against":[32,39,76],"white-box":[33],"attacks,":[34],"also":[35,154],"ensures":[36],"high":[37],"robustness":[38,75,138],"(black-box)":[40],"transfer-based":[41,77,136],"attacks.":[42,78],"However,":[43],"AT":[44,125],"suffers":[45],"from":[46],"significant":[47],"computational":[48],"overhead":[49],"because":[50],"it":[51],"repeatedly":[52],"generates":[53],"examples":[55],"(AEs)":[56],"throughout":[57],"entire":[59],"process.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"demonstrate":[66],"that":[67,121],"such":[68,160],"repeated":[69],"generation":[70],"unnecessary":[72],"achieve":[74],"Instead,":[79],"pre-generating":[80],"AEs":[81],"all":[82],"at":[83],"once":[84],"before":[85,115],"sufficient,":[88],"proposed":[90],"in":[91,133],"our":[92],"new":[93],"paradigm":[95],"called":[96],"Data-Centric":[97],"Robust":[98],"Training":[99],"(DCRT).":[100],"DCRT":[101,122],"employs":[102],"clean":[103],"data":[104,108],"augmentation":[105,109],"and":[106,131,139,165],"techniques":[110,126],"enhance":[112],"dataset":[114],"training.":[116],"Our":[117],"experimental":[118],"results":[119],"show":[120],"outperforms":[123],"widely-used":[124],"(e.g.,":[127],"PGD-AT,":[128],"TRADES,":[129],"EAT,":[130],"FAT)":[132],"terms":[134],"of":[135,158],"black-box":[137],"even":[140],"surpasses":[141],"top-1":[143],"on":[145,175],"RobustBench":[146],"when":[147],"combined":[148],"with":[149],"common":[150],"model-centric":[151],"techniques.":[152],"We":[153],"highlight":[155],"additional":[156],"benefits":[157],"DCRT,":[159],"improved":[162],"efficiency":[164],"class-wise":[166],"fairness.":[167],"<italic":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Our":[170],"code":[171],"will":[172],"be":[173],"available":[174],"GitHub</i>.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}