{"id":"https://openalex.org/W4291653584","doi":"https://doi.org/10.1109/tpami.2022.3199013","title":"Towards Robust Person Re-Identification by Defending Against Universal Attackers","display_name":"Towards Robust Person Re-Identification by Defending Against Universal Attackers","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4291653584","doi":"https://doi.org/10.1109/tpami.2022.3199013","pmid":"https://pubmed.ncbi.nlm.nih.gov/35969571"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3199013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3199013","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iris.unitn.it/bitstream/11572/377289/1/PAMI22-Towards_Robust_Person_Re-Identification_by_Defending_Against_Universal_Attackers.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089457796","display_name":"Fengxiang Yang","orcid":"https://orcid.org/0000-0003-3780-251X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxiang Yang","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-3780-251X","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041234756","display_name":"Juanjuan Weng","orcid":"https://orcid.org/0000-0003-0825-2272"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juanjuan Weng","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065328976","display_name":"Zhun Zhong","orcid":"https://orcid.org/0000-0002-8202-0544"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Zhun Zhong","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8202-0544","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410248","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0001-5318-6388"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5318-6388","affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401164","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0003-3846-9157"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3846-9157","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072443458","display_name":"Zhiming Luo","orcid":"https://orcid.org/0000-0002-3411-9582"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Luo","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-3411-9582","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032136718","display_name":"Donglin Cao","orcid":"https://orcid.org/0000-0002-0156-6087"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Cao","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-0156-6087","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081767617","display_name":"Shaozi Li","orcid":"https://orcid.org/0000-0001-5403-9945"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozi Li","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-5403-9945","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743927","display_name":"Shin\u2019ichi Satoh","orcid":"https://orcid.org/0000-0001-6995-6447"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin'ichi Satoh","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6995-6447","affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027171279","display_name":"Nicu Sebe","orcid":"https://orcid.org/0000-0002-6597-7248"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicu Sebe","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6597-7248","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.664,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.8512571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"45","issue":"4","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9965000152587891,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.8688395023345947},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7769545316696167},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6447706818580627},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6315916180610657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5971771478652954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5603736639022827},{"id":"https://openalex.org/keywords/attack-model","display_name":"Attack model","score":0.516764760017395},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4574230909347534},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43989983201026917},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4380641281604767},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.428347110748291},{"id":"https://openalex.org/keywords/attack-surface","display_name":"Attack surface","score":0.4256304204463959}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8688395023345947},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7769545316696167},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6447706818580627},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6315916180610657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5971771478652954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5603736639022827},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.516764760017395},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4574230909347534},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43989983201026917},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4380641281604767},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.428347110748291},{"id":"https://openalex.org/C2776576444","wikidata":"https://www.wikidata.org/wiki/Q303569","display_name":"Attack surface","level":2,"score":0.4256304204463959},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2022.3199013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3199013","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35969571","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35969571","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:iris.unitn.it:11572/377289","is_oa":true,"landing_page_url":"https://hdl.handle.net/11572/377289","pdf_url":"https://iris.unitn.it/bitstream/11572/377289/1/PAMI22-Towards_Robust_Person_Re-Identification_by_Defending_Against_Universal_Attackers.pdf","source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:iris.unitn.it:11572/377289","is_oa":true,"landing_page_url":"https://hdl.handle.net/11572/377289","pdf_url":"https://iris.unitn.it/bitstream/11572/377289/1/PAMI22-Towards_Robust_Person_Re-Identification_by_Defending_Against_Universal_Attackers.pdf","source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6525608689","display_name":"Provable, Explainable, Efficient, Robust Deep Neural Network for Large-scale Multimedia Retrieval","funder_award_id":"22KF0369","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G967091217","display_name":"Construction of metric space for datasets and learning algorithms","funder_award_id":"23K24876","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4291653584.pdf","grobid_xml":"https://content.openalex.org/works/W4291653584.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2243397390","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2543927648","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2603766943","https://openalex.org/W2779610669","https://openalex.org/W2794363191","https://openalex.org/W2795758732","https://openalex.org/W2806143712","https://openalex.org/W2953684117","https://openalex.org/W2962996864","https://openalex.org/W2963047834","https://openalex.org/W2963289251","https://openalex.org/W2963446712","https://openalex.org/W2963588253","https://openalex.org/W2963842104","https://openalex.org/W2963855547","https://openalex.org/W2964082701","https://openalex.org/W2964105864","https://openalex.org/W2972365627","https://openalex.org/W2984942115","https://openalex.org/W2997560666","https://openalex.org/W2998792609","https://openalex.org/W2998904801","https://openalex.org/W2999606423","https://openalex.org/W3008706867","https://openalex.org/W3016193692","https://openalex.org/W3034530016","https://openalex.org/W3036280328","https://openalex.org/W3045766264","https://openalex.org/W3093070413","https://openalex.org/W3093078906","https://openalex.org/W3093152201","https://openalex.org/W3094250460","https://openalex.org/W3097573595","https://openalex.org/W3099502074","https://openalex.org/W3100505241","https://openalex.org/W3100506510","https://openalex.org/W3104218734","https://openalex.org/W3109275961","https://openalex.org/W3112897560","https://openalex.org/W3125736290","https://openalex.org/W3164425124","https://openalex.org/W3169884992","https://openalex.org/W3173777106","https://openalex.org/W3176237992","https://openalex.org/W3188895623","https://openalex.org/W3203961508","https://openalex.org/W4293846201","https://openalex.org/W4297738229","https://openalex.org/W6637162671","https://openalex.org/W6638523607","https://openalex.org/W6640425456","https://openalex.org/W6681968150","https://openalex.org/W6720057410","https://openalex.org/W6728374919","https://openalex.org/W6735236233","https://openalex.org/W6735531217","https://openalex.org/W6736057607","https://openalex.org/W6750222692","https://openalex.org/W6751776053","https://openalex.org/W6763151900","https://openalex.org/W6767599400","https://openalex.org/W6774469542","https://openalex.org/W6774681163","https://openalex.org/W6776523612","https://openalex.org/W6784347383","https://openalex.org/W6798835683"],"related_works":["https://openalex.org/W2478244259","https://openalex.org/W2902040535","https://openalex.org/W2187854411","https://openalex.org/W41015297","https://openalex.org/W4307079546","https://openalex.org/W2883540030","https://openalex.org/W4283317927","https://openalex.org/W2591273803","https://openalex.org/W3081645608","https://openalex.org/W4390187619"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"show":[2],"that":[3,88,212],"deep":[4],"person":[5,79],"re-identification":[6],"(re-ID)":[7],"models":[8,24,48],"are":[9,60,213],"vulnerable":[10],"to":[11,18,69,91,128,186,208],"adversarial":[12,86],"examples,":[13],"so":[14],"it":[15],"is":[16,89,168,206],"critical":[17],"improving":[19],"the":[20,33,52,71,74,138,143,146,149,152,203],"robustness":[21,150],"of":[22,37,57,100,145,151],"re-ID":[23,39,153,160],"against":[25,51],"attacks.":[26,54],"To":[27],"achieve":[28],"this":[29,58],"goal,":[30],"we":[31,63,82,112],"explore":[32,137],"strengths":[34],"and":[35,45,76,94,104,148,170,175,189],"weaknesses":[36],"existing":[38],"models,":[40],"i.e.,":[41],"designing":[42],"learning-based":[43],"attacks":[44,211],"training":[46],"robust":[47,207],"by":[49],"defending":[50],"learned":[53],"The":[55,198],"contributions":[56],"paper":[59],"three-fold:":[61],"First,":[62],"build":[64],"a":[65,84,114,125],"holistic":[66],"attack-defense":[67,121],"framework":[68,205],"study":[70],"relationship":[72],"between":[73],"attack":[75,87,147,167,188],"defense":[77,190,199],"for":[78,119,141],"re-ID.":[80],"Second,":[81],"introduce":[83],"combinatorial":[85,166],"adaptive":[90],"unseen":[92,95],"domains":[93],"model":[96,200],"types.":[97],"It":[98],"consists":[99],"distortions":[101],"in":[102,173],"pixel":[103],"color":[105],"space":[106],"(i.e.,":[107],"mimicking":[108],"camera":[109],"shifts).":[110],"Third,":[111],"propose":[113],"novel":[115],"virtual-guided":[116],"meta-learning":[117,133,180],"algorithm":[118,181],"our":[120,132],"system.":[122],"We":[123],"leverage":[124],"virtual":[126],"dataset":[127],"conduct":[129],"experiments":[130,156],"under":[131],"framework,":[134],"which":[135,192],"can":[136,182,193],"cross-domain":[139],"constraints":[140],"enhancing":[142],"generalization":[144],"model.":[154],"Comprehensive":[155],"on":[157,202],"three":[158],"large-scale":[159],"benchmarks":[161],"demonstrate":[162],"that:":[163],"1)":[164],"Our":[165,179],"effective":[169],"highly":[171],"universal":[172],"cross-model":[174],"cross-dataset":[176],"scenarios;":[177],"2)":[178],"be":[183],"readily":[184],"applied":[185],"different":[187],"approaches,":[191],"reach":[194],"consistent":[195],"improvement;":[196],"3)":[197],"trained":[201],"learning-to-learn":[204],"recent":[209],"SOTA":[210],"not":[214],"even":[215],"used":[216],"during":[217],"training.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
