{"id":"https://openalex.org/W4394595592","doi":"https://doi.org/10.1109/tmm.2024.3382473","title":"Context-Guided Black-Box Attack for Visual Tracking","display_name":"Context-Guided Black-Box Attack for Visual Tracking","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394595592","doi":"https://doi.org/10.1109/tmm.2024.3382473"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3382473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3382473","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","raw_type":"journal-article"},"type":"article","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/A5088095807","display_name":"Xingsen Huang","orcid":"https://orcid.org/0009-0004-2826-6588"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingsen Huang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0004-2826-6588","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085059762","display_name":"Deshui Miao","orcid":"https://orcid.org/0000-0001-5168-931X"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deshui Miao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5168-931X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608721","display_name":"Hongpeng Wang","orcid":"https://orcid.org/0000-0001-8108-2674"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongpeng Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8108-2674","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631216","display_name":"Yaowei Wang","orcid":"https://orcid.org/0000-0003-2197-9038"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowei Wang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2197-9038","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100658181","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-1670-1368"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1670-1368","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088095807"],"corresponding_institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213","https://openalex.org/I4210136793"],"apc_list":null,"apc_paid":null,"fwci":0.6906,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68217801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"8824","last_page":"8835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9925000071525574,"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":0.9925000071525574,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9429000020027161,"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/computer-science","display_name":"Computer science","score":0.8218488097190857},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.595022439956665},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5784032940864563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4370213747024536},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43355587124824524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42041414976119995},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34901559352874756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8218488097190857},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.595022439956665},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5784032940864563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4370213747024536},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43355587124824524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42041414976119995},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34901559352874756},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3382473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3382473","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5186414302","display_name":null,"funder_award_id":"62002241","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2133665775","https://openalex.org/W2158592639","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2604505099","https://openalex.org/W2799058067","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2913466142","https://openalex.org/W2950689937","https://openalex.org/W2963030525","https://openalex.org/W2963534981","https://openalex.org/W2963857521","https://openalex.org/W2966759264","https://openalex.org/W2972986629","https://openalex.org/W2988535323","https://openalex.org/W3001584168","https://openalex.org/W3015377530","https://openalex.org/W3034418285","https://openalex.org/W3035677743","https://openalex.org/W3041551881","https://openalex.org/W3094502228","https://openalex.org/W3107524501","https://openalex.org/W3107530881","https://openalex.org/W3110076132","https://openalex.org/W3159231306","https://openalex.org/W3170378827","https://openalex.org/W3174820339","https://openalex.org/W3176686930","https://openalex.org/W3198796530","https://openalex.org/W3214586131","https://openalex.org/W3216820432","https://openalex.org/W4205757850","https://openalex.org/W4214689724","https://openalex.org/W4214759957","https://openalex.org/W4224918372","https://openalex.org/W4292621731","https://openalex.org/W4307911261","https://openalex.org/W4312751983","https://openalex.org/W4313156423","https://openalex.org/W4313479624","https://openalex.org/W4376133601","https://openalex.org/W4390871890","https://openalex.org/W6640425456","https://openalex.org/W6731927902"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2047881532","https://openalex.org/W2121496884"],"abstract_inverted_index":{"With":[0],"the":[1,18,54,69,78,81,85,102,115,119,124,130,143,161,190,202,208],"recent":[2,57,212],"advancement":[3],"of":[4,22,56,80,96,104,148,192,211],"deep":[5,29,59,195,213],"neural":[6],"networks,":[7],"visual":[8],"tracking":[9,15,23,137,170,214],"has":[10],"achieved":[11],"substantial":[12],"progress":[13],"in":[14,91,118,201],"accuracy.":[16],"However,":[17],"robustness":[19,55,210],"and":[20,63,84,146,168,179,219],"security":[21],"methods":[24,215],"developed":[25],"based":[26],"on":[27,136,172],"current":[28],"models":[30],"have":[31],"not":[32],"been":[33],"thoroughly":[34],"explored,":[35],"a":[36,47,149],"critical":[37],"consideration":[38],"for":[39],"real-world":[40],"applications.":[41],"In":[42],"this":[43],"study,":[44],"we":[45,113],"propose":[46],"context-guided":[48],"black-box":[49,203],"attack":[50,163,204],"method":[51,164],"to":[52,106,122],"investigate":[53],"advanced":[58],"trackers":[60,105,131,196],"against":[61,216],"spatial":[62,67],"temporal":[64,111],"interference.":[65],"For":[66,110],"interference,":[68,112],"proposed":[70,162],"algorithm":[71],"generates":[72],"adversarial":[73,125],"target":[74,82,116,151],"samples":[75],"by":[76],"mixing":[77],"information":[79],"object":[83,152],"similar":[86],"background":[87,108,217],"regions":[88],"around":[89],"it":[90],"an":[92,97],"embedded":[93],"feature":[94],"space":[95],"encoder-decoder":[98],"model,":[99],"which":[100,127],"evaluates":[101],"ability":[103],"handle":[107],"distractors.":[109],"use":[114],"state":[117],"previous":[120],"frame":[121],"generate":[123],"sample,":[126],"easily":[128],"fools":[129],"that":[132,142,185],"rely":[133],"too":[134],"heavily":[135],"prior":[138,220],"assumptions,":[139],"such":[140],"as":[141],"appearance":[144],"changes":[145],"movements":[147],"video":[150],"are":[153],"small":[154],"between":[155],"two":[156],"consecutive":[157],"frames.":[158],"We":[159],"assess":[160],"under":[165],"both":[166],"CNN-based":[167],"transformer-based":[169],"frameworks":[171],"four":[173],"diverse":[174],"datasets:":[175],"OTB100,":[176],"VOT2018,":[177],"GOT-10k,":[178],"LaSOT.":[180],"The":[181],"experimental":[182],"results":[183],"demonstrate":[184],"our":[186],"approach":[187],"substantially":[188],"deteriorates":[189],"performance":[191],"all":[193],"these":[194],"across":[197],"numerous":[198],"datasets,":[199],"even":[200],"mode.":[205],"This":[206],"reveals":[207],"weak":[209],"distractors":[218],"dependencies.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}