{"id":"https://openalex.org/W4415707763","doi":"https://doi.org/10.1109/icme59968.2025.11209562","title":"RobusTReID: Defending Vision Transformer for Robust Image ReID","display_name":"RobusTReID: Defending Vision Transformer for Robust Image ReID","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707763","doi":"https://doi.org/10.1109/icme59968.2025.11209562"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209562","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 Multimedia and Expo (ICME)","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/A5046346919","display_name":"Zhang Hua","orcid":"https://orcid.org/0000-0003-0945-6613"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["East China Normal University,School of Communication and Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Communication and Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088123991","display_name":"Tingting Xiao","orcid":"https://orcid.org/0000-0002-6507-5420"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Xiao","raw_affiliation_strings":["East China Normal University,School of Communication and Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Communication and Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111845856","display_name":"Li Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sun","raw_affiliation_strings":["East China Normal University,School of Communication and Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Communication and Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["East China Normal University,School of Communication and Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Communication and Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9764000177383423,"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":0.9764000177383423,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.00419999985024333,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.003700000001117587,"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/robustness","display_name":"Robustness (evolution)","score":0.6819999814033508},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.650600016117096},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6067000031471252},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5828999876976013},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5134000182151794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47380000352859497}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6819999814033508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6791999936103821},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.650600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462000012397766},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6067000031471252},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5828999876976013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5358999967575073},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3154999911785126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209562","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2962858109","https://openalex.org/W2963047834","https://openalex.org/W2963542245","https://openalex.org/W2963842104","https://openalex.org/W2967515867","https://openalex.org/W2981393440","https://openalex.org/W2984942115","https://openalex.org/W2990827756","https://openalex.org/W3016193692","https://openalex.org/W3035743198","https://openalex.org/W3036280328","https://openalex.org/W3093070413","https://openalex.org/W3175823695","https://openalex.org/W4214736485","https://openalex.org/W4297738229","https://openalex.org/W4382460786"],"related_works":[],"abstract_inverted_index":{"Vision":[0],"Transformer":[1],"(ViT)":[2],"achieves":[3],"competitive":[4],"results":[5],"in":[6,75,87],"person":[7],"ReID,":[8,66],"not":[9],"only":[10],"due":[11],"to":[12,23,29,41,60,117],"the":[13,43,62,97,119,136],"powerful":[14],"ability":[15],"on":[16,53,90,126],"feature":[17,77,120],"representation,":[18],"but":[19],"also":[20],"its":[21],"resistance":[22],"attacks.":[24,32,145],"However,":[25],"they":[26],"are":[27,115],"vulnerable":[28],"specially":[30],"designed":[31],"To":[33],"enhance":[34],"their":[35],"robustness,":[36],"this":[37],"paper":[38],"proposes":[39],"RobusTReID":[40],"defend":[42],"ViT-based":[44],"model":[45,81,140],"against":[46],"perturbed":[47,93,103,122],"images":[48],"without":[49],"obvious":[50],"performance":[51],"drop":[52],"clean":[54,91,101],"data.":[55,94],"The":[56],"basic":[57],"idea":[58],"is":[59],"incorporate":[61],"adversarial":[63,73],"co-training":[64],"into":[65],"which":[67],"first":[68],"disturbs":[69],"pixels":[70],"by":[71,82],"minimizing":[72],"loss":[74,85],"primary":[76],"branch,":[78],"then":[79],"optimizes":[80],"ReID":[83,128,139],"task":[84],"computed":[86],"all":[88],"branches":[89],"and":[92,102,110],"We":[95],"separate":[96],"representation":[98],"paths":[99],"for":[100,121],"images.":[104],"Particularly,":[105],"a":[106],"learnable":[107],"[ADV]":[108],"token":[109],"low-rank":[111],"positional":[112],"embeddings":[113],"(PE)":[114],"incorporated":[116],"build":[118],"image.":[123],"Extensive":[124],"experiments":[125],"several":[127],"datasets":[129],"show":[130],"that":[131],"our":[132],"method":[133],"effectively":[134],"increases":[135],"robustness":[137],"of":[138,144],"under":[141],"different":[142],"types":[143]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}