{"id":"https://openalex.org/W4401070123","doi":"https://doi.org/10.1109/access.2024.3435335","title":"A Global Object Disappearance Attack Scenario on Object Detection","display_name":"A Global Object Disappearance Attack Scenario on Object Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401070123","doi":"https://doi.org/10.1109/access.2024.3435335"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3435335","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3435335","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/access.2024.3435335","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083643516","display_name":"Zhiang Li","orcid":"https://orcid.org/0009-0001-3983-0496"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiang Li","raw_affiliation_strings":["School of Computer Science, Yangtze University, Jingzhou, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0001-3983-0496","affiliations":[{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou, Hubei, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101946961","display_name":"Xiaoling Xiao","orcid":"https://orcid.org/0000-0003-1203-2627"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Xiao","raw_affiliation_strings":["School of Computer Science, Yangtze University, Jingzhou, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-1203-2627","affiliations":[{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou, Hubei, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09307551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"104938","last_page":"104947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9937000274658203,"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":0.9868000149726868,"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/backdoor","display_name":"Backdoor","score":0.7870585322380066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7612671852111816},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6897533535957336},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5977904200553894},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5698068141937256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126199126243591},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.4309774339199066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38137683272361755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3352881669998169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3047427833080292},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29293274879455566},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13387292623519897}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.7870585322380066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612671852111816},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6897533535957336},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5977904200553894},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5698068141937256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126199126243591},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.4309774339199066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38137683272361755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3352881669998169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3047427833080292},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29293274879455566},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13387292623519897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3435335","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3435335","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ef00a241951746beba558775383f5fdb","is_oa":true,"landing_page_url":"https://doaj.org/article/ef00a241951746beba558775383f5fdb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 104938-104947 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3435335","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3435335","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G834051384","display_name":"\u8f6f\u4ef6\u5b9a\u4e49\u968f\u673a\u673a\u4f1a\u7f51\u7edc\u5168\u5c40\u72b6\u6001\u7684\u5b9e\u65f6\u4f30\u7b97\u53ca\u63a7\u5236\u7814\u7a76","funder_award_id":"61771354","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":48,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2102605133","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2559655401","https://openalex.org/W2570343428","https://openalex.org/W2774423163","https://openalex.org/W2942091739","https://openalex.org/W2962721361","https://openalex.org/W2963037989","https://openalex.org/W2985913519","https://openalex.org/W3010216907","https://openalex.org/W3018757597","https://openalex.org/W3034414373","https://openalex.org/W3124328747","https://openalex.org/W3140988292","https://openalex.org/W3197733821","https://openalex.org/W3204619801","https://openalex.org/W3213810615","https://openalex.org/W3217308368","https://openalex.org/W4214680449","https://openalex.org/W4221145075","https://openalex.org/W4252979261","https://openalex.org/W4281251975","https://openalex.org/W4283271258","https://openalex.org/W4293584584","https://openalex.org/W4310458058","https://openalex.org/W4312048073","https://openalex.org/W4320736757","https://openalex.org/W4323351162","https://openalex.org/W4386002975","https://openalex.org/W4387424094","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6746897123","https://openalex.org/W6750227808","https://openalex.org/W6789325072","https://openalex.org/W6792327856","https://openalex.org/W6804995136","https://openalex.org/W6809873772","https://openalex.org/W6838620252","https://openalex.org/W6848065295"],"related_works":["https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W4293054914","https://openalex.org/W1689909837","https://openalex.org/W4298525700","https://openalex.org/W2953362004","https://openalex.org/W2549121492"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"network":[2],"(DNN)":[3],"-based":[4],"object":[5,61,71,83,93,167,188],"detectors":[6,72],"have":[7,50,87],"achieved":[8],"remarkable":[9],"success,":[10],"but":[11,34],"recent":[12],"research":[13],"has":[14],"revealed":[15],"their":[16,58],"vulnerability":[17],"to":[18,27,138,159,212],"backdoor":[19,48,80],"attacks.":[20],"The":[21,162,220],"attacks":[22,49,81],"cause":[23],"the":[24,39,67,110,119,129,133,214,217,224,234],"poisoned":[25],"model":[26],"output":[28],"results":[29,36,221],"normally":[30],"on":[31,41,54,82,185],"benign":[32],"images,":[33],"outputs":[35],"specified":[37],"by":[38],"attacker":[40],"images":[42],"inserted":[43],"with":[44],"a":[45,105,165,173],"trigger.":[46],"Although":[47],"been":[51],"extensively":[52],"investigated":[53],"image":[55],"classification":[56],"tasks,":[57],"exploration":[59],"in":[60,73,118],"detection":[62,84,189],"tasks":[63,85],"remains":[64],"limited.":[65],"With":[66],"increasing":[68],"application":[69],"of":[70,112,121,132,146,216,227],"safety-sensitive":[74],"fields":[75],"such":[76],"as":[77],"autonomous":[78],"driving,":[79],"may":[86],"serious":[88],"consequences.":[89],"Currently,":[90],"strategies":[91,102,126,151],"for":[92],"disappearance":[94,120,168],"attack":[95,154,169,179,229],"scenarios":[96],"exhibit":[97,104,152],"certain":[98],"limitations.":[99],"First,":[100],"these":[101,125,150],"typically":[103,127],"one-to-one":[106],"correspondence,":[107],"implying":[108],"that":[109,223],"insertion":[111,145],"one":[113,122],"trigger":[114],"can":[115],"only":[116,238],"result":[117],"object.":[123],"Second,":[124],"necessitate":[128],"attacker\u2019s":[130],"knowledge":[131],"object\u2019s":[134],"precise":[135],"location":[136],"information":[137],"achieve":[139],"its":[140],"disappearance,":[141],"thereby":[142],"rendering":[143],"real-time":[144],"triggers":[147],"unfeasible.":[148],"Finally,":[149],"diminished":[153],"success":[155,225],"rates":[156],"when":[157],"applied":[158],"two-stage":[160],"detectors.":[161],"paper":[163],"presents":[164],"global":[166],"scenario":[170],"and":[171,176,195,209],"proposes":[172],"simple,":[174],"covert,":[175],"highly":[177],"effective":[178],"strategy.":[180,219],"Experimental":[181],"evaluations":[182],"are":[183],"conducted":[184],"four":[186],"widely-used":[187],"models":[190],"(Yolov5s,":[191],"Yolov8s,":[192],"Faster":[193],"R-CNN,":[194],"Libra":[196],"R-CNN)":[197],"using":[198],"two":[199],"benchmark":[200],"datasets":[201],"(PASCAL":[202],"VOC<inline-formula":[203],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[204],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[205],"<tex-math":[206],"notation=\"LaTeX\">$07+12$":[207],"</tex-math></inline-formula>":[208],"MS":[210],"COCO2017)":[211],"validate":[213],"effectiveness":[215],"proposed":[218],"demonstrate":[222],"rate":[226,236],"this":[228],"strategy":[230],"exceeds":[231],"96%,":[232],"while":[233],"poison":[235],"is":[237],"10%.":[239]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
