{"id":"https://openalex.org/W3093070413","doi":"https://doi.org/10.1109/tpami.2020.3031625","title":"Adversarial Metric Attack and Defense for Person Re-Identification","display_name":"Adversarial Metric Attack and Defense for Person Re-Identification","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3093070413","doi":"https://doi.org/10.1109/tpami.2020.3031625","mag":"3093070413","pmid":"https://pubmed.ncbi.nlm.nih.gov/33064650"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.3031625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3031625","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/A5101562162","display_name":"Song Bai","orcid":"https://orcid.org/0000-0002-2570-9118"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Song Bai","raw_affiliation_strings":["University of Oxford, Oxford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-2570-9118","affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643104","display_name":"Yingwei Li","orcid":"https://orcid.org/0000-0002-0711-7004"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingwei Li","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-0711-7004","affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067640436","display_name":"Yuyin Zhou","orcid":"https://orcid.org/0000-0003-2232-9563"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuyin Zhou","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-2232-9563","affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022666765","display_name":"Qizhu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qizhu Li","raw_affiliation_strings":["University of Oxford, Oxford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042899882","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip H.S. Torr","raw_affiliation_strings":["University of Oxford, Oxford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7375,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.94652333,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"43","issue":"6","first_page":"2119","last_page":"2126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9993000030517578,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9983999729156494,"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":0.9414529800415039},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7591273784637451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7270443439483643},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6682815551757812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5535750389099121},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.481080025434494},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.47199133038520813},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.44347333908081055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43906939029693604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0845518410205841}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9414529800415039},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7591273784637451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270443439483643},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6682815551757812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5535750389099121},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.481080025434494},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.47199133038520813},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.44347333908081055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43906939029693604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0845518410205841},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2020.3031625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3031625","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:33064650","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33064650","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":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1203979484","display_name":null,"funder_award_id":"EP/N019474/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1277543710","display_name":null,"funder_award_id":"EP/M013774/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2018133609","display_name":"Seebibyte: Visual Search for the Era of Big Data","funder_award_id":"EP/M013774/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8416736120","display_name":null,"funder_award_id":"Seebibyte EP/M013774/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8504406543","display_name":"Understanding scenes and events through joint parsing, cognitive reasoning and lifelong learning","funder_award_id":"EP/N019474/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1673923490","https://openalex.org/W1927348918","https://openalex.org/W1945616565","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W2068042582","https://openalex.org/W2089074647","https://openalex.org/W2098807270","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2138621090","https://openalex.org/W2140844045","https://openalex.org/W2145287260","https://openalex.org/W2154889144","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2209877316","https://openalex.org/W2433217581","https://openalex.org/W2460937040","https://openalex.org/W2475284720","https://openalex.org/W2519803806","https://openalex.org/W2549139847","https://openalex.org/W2570685808","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2606377603","https://openalex.org/W2774644650","https://openalex.org/W2798303923","https://openalex.org/W2798429327","https://openalex.org/W2798590501","https://openalex.org/W2798775284","https://openalex.org/W2807957650","https://openalex.org/W2883182249","https://openalex.org/W2890159224","https://openalex.org/W2895589658","https://openalex.org/W2896888563","https://openalex.org/W2954765307","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963180826","https://openalex.org/W2963207607","https://openalex.org/W2963389226","https://openalex.org/W2963446712","https://openalex.org/W2963506340","https://openalex.org/W2963854696","https://openalex.org/W2963989829","https://openalex.org/W2964153729","https://openalex.org/W2964186374","https://openalex.org/W2964344300","https://openalex.org/W2966101856","https://openalex.org/W2998771449","https://openalex.org/W3100471085","https://openalex.org/W4300511536","https://openalex.org/W4317524344","https://openalex.org/W4320013936","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6719080892","https://openalex.org/W6729756640","https://openalex.org/W6731927902","https://openalex.org/W6735531217","https://openalex.org/W6754663736"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2803139007","https://openalex.org/W2088647418"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(re-ID)":[2],"has":[3],"attracted":[4],"much":[5],"attention":[6],"recently":[7],"due":[8],"to":[9,21,28,46,55,142],"its":[10],"great":[11],"importance":[12],"in":[13,70,87,153,196],"video":[14,71],"surveillance.":[15,72],"In":[16,127],"general,":[17],"distance":[18,44],"metrics":[19,45],"used":[20,120],"identify":[22],"two":[23],"person":[24,56,91],"images":[25],"are":[26],"expected":[27],"be":[29,118],"robust":[30],"under":[31],"various":[32,179],"appearance":[33],"changes.":[34],"However,":[35],"our":[36,185],"work":[37,186],"observes":[38],"the":[39,59,98,102,111,132,150,170,189],"extreme":[40],"vulnerability":[41],"of":[42,106,113,163,191],"existing":[43],"adversarial":[47,74,143,151,173,180,192],"examples,":[48],"generated":[49],"by":[50,134,177],"simply":[51],"adding":[52],"human-imperceptible":[53],"perturbations":[54],"images.":[57],"Hence,":[58],"security":[60],"danger":[61],"is":[62,84,97],"dramatically":[63],"increased":[64],"when":[65],"deploying":[66],"commercial":[67],"re-ID":[68,107,115,154],"systems":[69],"Although":[73],"examples":[75],"have":[76],"been":[77],"extensively":[78],"applied":[79],"for":[80],"classification":[81,144],"analysis,":[82],"it":[83],"rarely":[85],"studied":[86],"metric":[88,171],"analysis":[89],"like":[90],"re-identification.":[92],"The":[93],"most":[94],"likely":[95],"reason":[96],"natural":[99],"gap":[100,133],"between":[101],"training":[103,164],"and":[104,194],"testing":[105,122],"networks,":[108],"that":[109,184],"is,":[110],"predictions":[112],"a":[114,139,165],"network":[116],"cannot":[117],"directly":[119],"during":[121],"without":[123],"an":[124,160],"effective":[125],"metric.":[126],"this":[128],"work,":[129],"we":[130,157,182],"bridge":[131],"proposing":[135],"Adversarial":[136],"Metric":[137],"Attack,":[138],"parallel":[140],"methodology":[141],"attacks.":[145,174],"Comprehensive":[146],"experiments":[147],"clearly":[148],"reveal":[149],"effects":[152],"systems.":[155],"Meanwhile,":[156],"also":[158],"present":[159],"early":[161],"attempt":[162],"metric-preserving":[166],"network,":[167],"thereby":[168],"defending":[169],"against":[172],"At":[175],"last,":[176],"benchmarking":[178],"settings,":[181],"expect":[183],"can":[187],"facilitate":[188],"development":[190],"attack":[193],"defense":[195],"metric-based":[197],"applications.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
