{"id":"https://openalex.org/W4408646542","doi":"https://doi.org/10.3390/bdcc9030072","title":"TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors","display_name":"TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors","publication_year":2025,"publication_date":"2025-03-19","ids":{"openalex":"https://openalex.org/W4408646542","doi":"https://doi.org/10.3390/bdcc9030072"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9030072","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9030072","pdf_url":"https://www.mdpi.com/2504-2289/9/3/72/pdf?version=1742398951","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/3/72/pdf?version=1742398951","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098879360","display_name":"Adonisz Dimitriu","orcid":"https://orcid.org/0009-0003-4002-3231"},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Adonisz Dimitriu","raw_affiliation_strings":["Techtra Technology Transfer Institute, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary","Technology Transfer Institute, 1113 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Techtra Technology Transfer Institute, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary","institution_ids":["https://openalex.org/I83579964"]},{"raw_affiliation_string":"Technology Transfer Institute, 1113 Budapest, Hungary","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057420358","display_name":"Tam\u00e1s Vilmos Michaletzky","orcid":null},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tam\u00e1s Vilmos Michaletzky","raw_affiliation_strings":["Techtra Technology Transfer Institute, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary","Technology Transfer Institute, 1113 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Techtra Technology Transfer Institute, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary","institution_ids":["https://openalex.org/I83579964"]},{"raw_affiliation_string":"Technology Transfer Institute, 1113 Budapest, Hungary","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076518947","display_name":"Viktor Remeli","orcid":"https://orcid.org/0000-0002-0044-0386"},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Viktor Remeli","raw_affiliation_strings":["Techtra Technology Transfer Institute, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary","Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary"],"affiliations":[{"raw_affiliation_string":"Techtra Technology Transfer Institute, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary","institution_ids":["https://openalex.org/I83579964"]},{"raw_affiliation_string":"Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary","institution_ids":["https://openalex.org/I83579964"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5098879360"],"corresponding_institution_ids":["https://openalex.org/I83579964"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.6997,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88885693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"9","issue":"3","first_page":"72","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9951000213623047,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/camouflage","display_name":"Camouflage","score":0.9795646071434021},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.6471660733222961},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6076622605323792},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5073487162590027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4812045395374298},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4767740070819855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42542874813079834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3910282254219055},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3283272981643677},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29390281438827515},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.15754687786102295},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09478890895843506}],"concepts":[{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.9795646071434021},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.6471660733222961},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6076622605323792},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5073487162590027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4812045395374298},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4767740070819855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42542874813079834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3910282254219055},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3283272981643677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29390281438827515},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.15754687786102295},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09478890895843506}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9030072","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9030072","pdf_url":"https://www.mdpi.com/2504-2289/9/3/72/pdf?version=1742398951","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6363a1f1d1684a85a1bb4c80845b9061","is_oa":true,"landing_page_url":"https://doaj.org/article/6363a1f1d1684a85a1bb4c80845b9061","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 3, p 72 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9030072","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9030072","pdf_url":"https://www.mdpi.com/2504-2289/9/3/72/pdf?version=1742398951","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408646542.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1945616565","https://openalex.org/W2047643928","https://openalex.org/W2103559027","https://openalex.org/W2133665775","https://openalex.org/W2884585870","https://openalex.org/W2941205169","https://openalex.org/W2963118571","https://openalex.org/W2963527086","https://openalex.org/W2963726920","https://openalex.org/W2982770724","https://openalex.org/W3010219363","https://openalex.org/W3096609285","https://openalex.org/W3185095134","https://openalex.org/W3200450146","https://openalex.org/W4225786036","https://openalex.org/W4280620144","https://openalex.org/W4293584584","https://openalex.org/W4313138527","https://openalex.org/W4388823657","https://openalex.org/W4390873864","https://openalex.org/W4392223903","https://openalex.org/W6906492943"],"related_works":["https://openalex.org/W2978048274","https://openalex.org/W2348329006","https://openalex.org/W2379031960","https://openalex.org/W2376458710","https://openalex.org/W2231217681","https://openalex.org/W2914759737","https://openalex.org/W2984158411","https://openalex.org/W4253283976","https://openalex.org/W4231347762","https://openalex.org/W374553806"],"abstract_inverted_index":{"Adversarial":[0,38],"attacks":[1],"threaten":[2],"the":[3,81,95],"reliability":[4],"of":[5,118],"machine":[6],"learning":[7],"models":[8,25,53,135],"in":[9,87],"critical":[10],"applications":[11],"like":[12,26],"autonomous":[13],"vehicles":[14],"and":[15,90,140],"defense":[16],"systems.":[17],"As":[18],"object":[19,57,133],"detectors":[20,89],"become":[21],"more":[22],"robust":[23],"with":[24,67],"YOLOv8,":[27],"developing":[28],"effective":[29,86],"adversarial":[30,47,74,126],"methodologies":[31],"is":[32],"increasingly":[33],"challenging.":[34],"We":[35],"present":[36],"Truck":[37],"Camouflage":[39],"Optimization":[40],"(TACO),":[41],"a":[42,68,100],"novel":[43],"framework":[44],"that":[45,108],"generates":[46],"camouflage":[48],"patterns":[49,127],"on":[50,120],"3D":[51],"vehicle":[52],"to":[54,72,131],"deceive":[55],"state-of-the-art":[56],"detectors.":[58],"Adopting":[59],"Unreal":[60],"Engine":[61],"5,":[62],"TACO":[63,109],"integrates":[64],"differentiable":[65],"rendering":[66],"Photorealistic":[69],"Rendering":[70],"Network":[71],"optimize":[73],"textures":[75,83],"targeted":[76],"at":[77],"YOLOv8.":[78],"To":[79],"ensure":[80],"generated":[82],"are":[84],"both":[85],"deceiving":[88],"visually":[91],"plausible,":[92],"we":[93],"introduce":[94],"Convolutional":[96],"Smooth":[97],"Loss":[98],"function,":[99],"generalized":[101],"smooth":[102],"loss":[103],"function.":[104],"Experimental":[105],"evaluations":[106],"demonstrate":[107],"significantly":[110],"degrades":[111],"YOLOv8\u2019s":[112],"detection":[113,134],"performance,":[114],"achieving":[115],"an":[116],"AP@0.5":[117],"0.0099":[119],"unseen":[121],"test":[122],"data.":[123],"Furthermore,":[124],"these":[125],"exhibit":[128],"strong":[129],"transferability":[130],"other":[132],"such":[136],"as":[137],"Faster":[138],"R-CNN":[139],"earlier":[141],"YOLO":[142],"versions.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
