{"id":"https://openalex.org/W4416149579","doi":"https://doi.org/10.1109/iccv51701.2025.02098","title":"Prompt-Driven Transferable Adversarial Attack on Person Re-identification with Attribute-Aware Textual Inversion","display_name":"Prompt-Driven Transferable Adversarial Attack on Person Re-identification with Attribute-Aware Textual Inversion","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416149579","doi":"https://doi.org/10.1109/iccv51701.2025.02098"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2502.19697","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuan Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yuan Bian","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343916","display_name":"Min Liu","orcid":"https://orcid.org/0000-0002-8077-0130"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101526925","display_name":"Yi Yue","orcid":"https://orcid.org/0009-0000-3064-3371"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yunqi Yi","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683374","display_name":"Xueping Wang","orcid":"https://orcid.org/0000-0002-3931-4176"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueping Wang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuai Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shuai Jiang","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113278407","display_name":"Yaonan Wang","orcid":"https://orcid.org/0009-0004-5365-6254"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University","institution_ids":["https://openalex.org/I4210121405"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31357774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22599","last_page":"22609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.4846999943256378,"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":0.4846999943256378,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.1039000004529953,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.09350000321865082,"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/adversarial-system","display_name":"Adversarial system","score":0.8657000064849854},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6557000279426575},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6050000190734863},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.6033999919891357},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5424000024795532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4512999951839447},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.44020000100135803},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.4066999852657318}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8657000064849854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856000065803528},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6557000279426575},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6050000190734863},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.6033999919891357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5684999823570251},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.44020000100135803},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42500001192092896},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.2558000087738037}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.02098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2502.19697","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.19697","pdf_url":"https://arxiv.org/pdf/2502.19697","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2502.19697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.19697","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.19697","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.19697","pdf_url":"https://arxiv.org/pdf/2502.19697","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6988281412","display_name":null,"funder_award_id":"62425305,U22B2050,62221002","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(re-id)":[2],"models":[3,22],"are":[4,99],"vital":[5],"in":[6,52,113,140,169],"security":[7],"surveillance":[8],"systems,":[9],"requiring":[10],"transferable":[11],"adversarial":[12,134,149],"attacks":[13,25],"to":[14,46,74,101,105],"explore":[15],"the":[16,47,60,114,128,146],"vulnerabilities":[17],"of":[18,37,80,148],"them.":[19],"Recently,":[20],"vision-language":[21],"(VLM)":[23],"based":[24],"have":[26],"shown":[27],"superior":[28],"transferability":[29,147],"by":[30,83,163],"attacking":[31],"generalized":[32],"image":[33],"and":[34,120,133],"textual":[35,86,91,96,136],"features":[36,79],"VLM,":[38],"but":[39],"they":[40],"lack":[41],"comprehensive":[42],"feature":[43],"disruption":[44],"due":[45],"overemphasis":[48],"on":[49,165],"discriminative":[50],"semantics":[51,137],"integral":[53],"representation.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"introduce":[59],"Attribute-aware":[61],"Prompt":[62],"Attack":[63],"(AP-Attack),":[64],"a":[65,121],"novel":[66],"method":[67],"that":[68,108,125,154],"leverages":[69],"VLM's":[70],"image-text":[71],"alignment":[72],"capability":[73],"explicitly":[75,126],"disrupt":[76],"fine-grained":[77,135],"semantic":[78,110],"pedestrian":[81,103,129],"images":[82,104,119],"destroying":[84],"attribute-specific":[85],"embeddings.":[87],"To":[88],"obtain":[89],"personalized":[90],"descriptions":[92],"for":[93],"individual":[94],"attributes,":[95],"inversion":[97],"networks":[98],"designed":[100],"map":[102],"pseudo":[106],"tokens":[107],"represent":[109],"embeddings,":[111],"trained":[112],"contrastive":[115],"learning":[116],"manner":[117],"with":[118],"predefined":[122],"prompt":[123],"template":[124],"describes":[127],"attributes.":[130],"Inverted":[131],"benign":[132],"facilitate":[138],"attacker":[139],"effectively":[141],"conducting":[142],"thorough":[143],"disruptions,":[144],"enhancing":[145],"examples.":[150],"Extensive":[151],"experiments":[152],"show":[153],"AP-Attack":[155],"achieves":[156],"state-of-the-art":[157],"transferability,":[158],"significantly":[159],"outperforming":[160],"previous":[161],"methods":[162],"22.9%":[164],"mean":[166],"Drop":[167],"Rate":[168],"cross-model&dataset":[170],"attack":[171],"scenarios.":[172]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}