{"id":"https://openalex.org/W7127426091","doi":"https://doi.org/10.1109/tpami.2026.3660922","title":"Toward Real-World Holistic Privacy-Preserving Person Re-Identification","display_name":"Toward Real-World Holistic Privacy-Preserving Person Re-Identification","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127426091","doi":"https://doi.org/10.1109/tpami.2026.3660922","pmid":"https://pubmed.ncbi.nlm.nih.gov/41632662"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2026.3660922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3660922","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124900159","display_name":"Qianxiang Meng","orcid":null},"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":"Qianxiang Meng","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"He Li","orcid":"https://orcid.org/0000-0002-8469-8260"},"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":"He Li","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8469-8260","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Cao","orcid":"https://orcid.org/0000-0002-6628-0370"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Cao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, SuZhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6628-0370","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, SuZhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117112149","display_name":"Mang Ye","orcid":null},"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":"Mang Ye","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3989-7655","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.8969,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95531162,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"48","issue":"6","first_page":"6587","last_page":"6600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8949000239372253,"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":0.8949000239372253,"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":0.029500000178813934,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.016899999231100082,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.6022999882698059},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4648999869823456},{"id":"https://openalex.org/keywords/resist","display_name":"Resist","score":0.4156000018119812},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4108000099658966},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.375},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.31700000166893005},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.30970001220703125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055000066757202},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.6022999882698059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4788999855518341},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4162999987602234},{"id":"https://openalex.org/C53524968","wikidata":"https://www.wikidata.org/wiki/Q7315582","display_name":"Resist","level":3,"score":0.4156000018119812},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4108000099658966},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40070000290870667},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36250001192092896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3034999966621399},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C107645828","wikidata":"https://www.wikidata.org/wiki/Q12070446","display_name":"System model","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2026.3660922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3660922","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:41632662","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41632662","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}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8081057667732239}],"awards":[{"id":"https://openalex.org/G2068814885","display_name":null,"funder_award_id":"62361166629","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6084774999","display_name":null,"funder_award_id":"62506269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7482606384","display_name":null,"funder_award_id":"T2541022","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":60,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2204750386","https://openalex.org/W2952201977","https://openalex.org/W2963047834","https://openalex.org/W2967515867","https://openalex.org/W2998792609","https://openalex.org/W3016193692","https://openalex.org/W3033112120","https://openalex.org/W3035186652","https://openalex.org/W3080411117","https://openalex.org/W3093804672","https://openalex.org/W3136038792","https://openalex.org/W3162549644","https://openalex.org/W3193972328","https://openalex.org/W3205959870","https://openalex.org/W4200633094","https://openalex.org/W4213277438","https://openalex.org/W4224224340","https://openalex.org/W4288055256","https://openalex.org/W4291653584","https://openalex.org/W4297099630","https://openalex.org/W4297738229","https://openalex.org/W4304091826","https://openalex.org/W4312933868","https://openalex.org/W4362681513","https://openalex.org/W4377235412","https://openalex.org/W4382460786","https://openalex.org/W4386065422","https://openalex.org/W4386076618","https://openalex.org/W4387010854","https://openalex.org/W4388284243","https://openalex.org/W4388430673","https://openalex.org/W4389474415","https://openalex.org/W4390120014","https://openalex.org/W4390691448","https://openalex.org/W4390873006","https://openalex.org/W4391021823","https://openalex.org/W4391467966","https://openalex.org/W4393178525","https://openalex.org/W4394625544","https://openalex.org/W4398197694","https://openalex.org/W4399046273","https://openalex.org/W4399169033","https://openalex.org/W4399915076","https://openalex.org/W4402673954","https://openalex.org/W4402702979","https://openalex.org/W4402727393","https://openalex.org/W4402753705","https://openalex.org/W4402952238","https://openalex.org/W4402979205","https://openalex.org/W4403422358","https://openalex.org/W4403791488","https://openalex.org/W4405783129","https://openalex.org/W4407247433","https://openalex.org/W4407376583","https://openalex.org/W4407376750","https://openalex.org/W4410496178","https://openalex.org/W4413144902","https://openalex.org/W4415798568","https://openalex.org/W4416580034"],"related_works":[],"abstract_inverted_index":{"Real-world":[0],"person":[1,35],"re-identification":[2,36],"(Re-ID)":[3],"systems":[4,182],"are":[5],"susceptible":[6],"to":[7,11,24,40,154],"malicious":[8],"attacks,":[9],"leading":[10],"the":[12,18,25,54,74,80,86,90,94,121,126,141,156],"leakage":[13,51,138],"of":[14,27,57,69,88],"pedestrian":[15],"images":[16],"and":[17,31,47,72,79,102,131,150,162,177],"Re-ID":[19,58,181],"model,":[20],"posing":[21],"severe":[22],"threats":[23],"privacy":[26],"both":[28],"system":[29,95,157],"owners":[30],"pedestrians.":[32],"Existing":[33],"privacy-preserving":[34,105],"(PPPR)":[37],"methods":[38],"fail":[39],"simultaneously":[41],"resist":[42,108,136],"data":[43,48,109],"leakage,":[44,46,110],"model":[45,50,137,158],"&":[49],"while":[52,183],"compromising":[53,140],"normal":[55,142],"functionality":[56],"systems.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,97,111,145],"begin":[64],"with":[65,159],"an":[66],"in-depth":[67],"analysis":[68],"prior":[70],"methodologies":[71],"identify":[73],"gap":[75],"between":[76],"existing":[77,172],"works":[78],"ideal":[81],"PPPR":[82,173],"paradigm.":[83],"Inspired":[84],"by":[85],"concept":[87],"\"Let":[89],"invisible":[91],"perturbation":[92],"become":[93],"trigger\",":[96],"propose":[98,112,146],"SHIELD,":[99],"a":[100,113],"pioneering":[101],"comprehensive":[103],"two-stage":[104],"framework.":[106],"To":[107,135],"self-supervised":[114],"method":[115],"for":[116,180,188],"Protected":[117,151],"Dataset":[118],"Generation":[119],"in":[120],"first":[122],"stage,":[123],"which":[124],"obviates":[125],"dependence":[127],"on":[128],"identity":[129],"labels":[130],"ensures":[132],"image":[133],"quality.":[134],"without":[139],"retrieval":[143,186],"accuracy,":[144],"Original":[147],"Feature":[148,152],"Deconstruction":[149],"Alignment":[153],"train":[155],"paired":[160],"protected":[161],"original":[163],"images.":[164],"Extensive":[165],"experiments":[166],"substantiate":[167],"that":[168],"SHIELD":[169],"significantly":[170],"outperforms":[171],"methods,":[174],"offering":[175],"robust":[176],"holistic":[178],"protection":[179],"maintaining":[184],"decent":[185],"accuracy":[187],"authorized":[189],"users.":[190],"The":[191],"code":[192],"will":[193],"be":[194],"released":[195],"soon.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-09T06:09:20.037420","created_date":"2026-02-04T00:00:00"}