{"id":"https://openalex.org/W4406370337","doi":"https://doi.org/10.3390/jimaging11010025","title":"A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects","display_name":"A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects","publication_year":2025,"publication_date":"2025-01-13","ids":{"openalex":"https://openalex.org/W4406370337","doi":"https://doi.org/10.3390/jimaging11010025","pmid":"https://pubmed.ncbi.nlm.nih.gov/39852338"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11010025","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11010025","pdf_url":"https://www.mdpi.com/2313-433X/11/1/25/pdf?version=1736844082","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/1/25/pdf?version=1736844082","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008945926","display_name":"Ling Zhao","orcid":"https://orcid.org/0000-0002-6103-1113"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Zhao","raw_affiliation_strings":["Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"raw_orcid":"https://orcid.org/0000-0002-6103-1113","affiliations":[{"raw_affiliation_string":"Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027835474","display_name":"Xun Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Lv","raw_affiliation_strings":["Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103025137","display_name":"Lili Zhu","orcid":"https://orcid.org/0000-0002-7897-349X"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Zhu","raw_affiliation_strings":["Department of Hunan Provincial Institute of Land and Resources Planning, Hunan Key Laboratory of Land Resources Evaluation and Utilization, Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Hunan Provincial Institute of Land and Resources Planning, Hunan Key Laboratory of Land Resources Evaluation and Utilization, Changsha 410083, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101091101","display_name":"Binyan Luo","orcid":"https://orcid.org/0009-0001-8946-6848"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyan Luo","raw_affiliation_strings":["Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"raw_orcid":"https://orcid.org/0009-0001-8946-6848","affiliations":[{"raw_affiliation_string":"Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047895875","display_name":"Hang Cao","orcid":"https://orcid.org/0000-0003-4295-6900"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Cao","raw_affiliation_strings":["Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101386255","display_name":"Jiahao Cui","orcid":"https://orcid.org/0009-0006-9589-6111"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Cui","raw_affiliation_strings":["Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398353","display_name":"Haifeng Li","orcid":"https://orcid.org/0000-0003-1173-6593"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Li","raw_affiliation_strings":["Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"raw_orcid":"https://orcid.org/0000-0003-1173-6593","affiliations":[{"raw_affiliation_string":"Department of School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047373240","display_name":"Jian Peng","orcid":"https://orcid.org/0000-0002-1820-4015"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Peng","raw_affiliation_strings":["Department of Precision Instrument, Tsinghua University, Beijing 100084, China"],"raw_orcid":"https://orcid.org/0000-0002-1820-4015","affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047373240"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":1.2699,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82322552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9296000003814697,"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/camouflage","display_name":"Camouflage","score":0.8283228874206543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8147592544555664},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6477194428443909},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5986827611923218},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5451532602310181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5445674657821655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4185367524623871},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40837353467941284},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3670617938041687}],"concepts":[{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.8283228874206543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8147592544555664},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6477194428443909},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5986827611923218},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5451532602310181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5445674657821655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4185367524623871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40837353467941284},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3670617938041687}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging11010025","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11010025","pdf_url":"https://www.mdpi.com/2313-433X/11/1/25/pdf?version=1736844082","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:39852338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39852338","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11766271","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11766271","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f7246880bf4a41599d97c0675afa8827","is_oa":true,"landing_page_url":"https://doaj.org/article/f7246880bf4a41599d97c0675afa8827","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":"Journal of Imaging, Vol 11, Iss 1, p 25 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jimaging11010025","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11010025","pdf_url":"https://www.mdpi.com/2313-433X/11/1/25/pdf?version=1736844082","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G3098198469","display_name":null,"funder_award_id":"42301381","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406370337.pdf","grobid_xml":"https://content.openalex.org/works/W4406370337.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W183071939","https://openalex.org/W1591870335","https://openalex.org/W1985860133","https://openalex.org/W2152650280","https://openalex.org/W2535873859","https://openalex.org/W2885239375","https://openalex.org/W2903365351","https://openalex.org/W2905423756","https://openalex.org/W2905744087","https://openalex.org/W2958246682","https://openalex.org/W2962700793","https://openalex.org/W2963527086","https://openalex.org/W2963542245","https://openalex.org/W2969664989","https://openalex.org/W2971089407","https://openalex.org/W2981011605","https://openalex.org/W2985626319","https://openalex.org/W2997811843","https://openalex.org/W3017485054","https://openalex.org/W3021651554","https://openalex.org/W3025561882","https://openalex.org/W3034455297","https://openalex.org/W3034823537","https://openalex.org/W3101267861","https://openalex.org/W3105806188","https://openalex.org/W3109074851","https://openalex.org/W3111197774","https://openalex.org/W3136737068","https://openalex.org/W3174032462","https://openalex.org/W3174820339","https://openalex.org/W3176237058","https://openalex.org/W3185095134","https://openalex.org/W3200450146","https://openalex.org/W3210780202","https://openalex.org/W4221139075","https://openalex.org/W4225786036","https://openalex.org/W4280620144","https://openalex.org/W4282936640","https://openalex.org/W4312918928","https://openalex.org/W4313138527","https://openalex.org/W4315865725","https://openalex.org/W4323065138","https://openalex.org/W4376851287","https://openalex.org/W4378364371","https://openalex.org/W4380883423","https://openalex.org/W4385338523","https://openalex.org/W4386065609","https://openalex.org/W4386065751","https://openalex.org/W4386066615","https://openalex.org/W4386071873","https://openalex.org/W4388936930","https://openalex.org/W4390872973","https://openalex.org/W4392883897","https://openalex.org/W4399490840","https://openalex.org/W4400646341","https://openalex.org/W4400772240","https://openalex.org/W4402695819","https://openalex.org/W4402772363","https://openalex.org/W4406138127","https://openalex.org/W6741036071","https://openalex.org/W6745935785","https://openalex.org/W6756040250","https://openalex.org/W6765092194","https://openalex.org/W6838391691","https://openalex.org/W6848157229"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298","https://openalex.org/W4298079292"],"abstract_inverted_index":{"The":[0,85,308,333],"increasing":[1],"reliance":[2],"on":[3,106,123,182],"deep":[4],"neural":[5,212],"network-based":[6],"object":[7,34,305],"detection":[8,35,118,226,306],"models":[9],"in":[10,58,119,296],"various":[11],"applications":[12],"has":[13],"raised":[14],"significant":[15,38,294],"security":[16],"concerns":[17],"due":[18],"to":[19,22,48,90,96,153,156,175,197,216,227,287,303],"their":[20,56,82],"vulnerability":[21],"adversarial":[23,30,242],"attacks.":[24],"In":[25,143],"physical":[26],"3D":[27,131],"environments,":[28],"existing":[29],"attacks":[31,41],"that":[32,114,240,312,336],"target":[33],"(3D-AE)":[36],"face":[37],"challenges.":[39],"These":[40,236,290],"often":[42,72],"require":[43],"large":[44,66],"and":[45,54,67,80,93,110,207,222,249,273,319,355],"dispersed":[46,68],"modifications":[47,152,243],"objects,":[49],"making":[50],"them":[51],"easily":[52],"noticeable":[53],"reducing":[55],"effectiveness":[57,158,255],"real-world":[59,304],"scenarios.":[60],"To":[61,162,186],"maximize":[62,97,163],"the":[63,76,98,150,164,177,183,188,199,224,241,253,262,265,271,300,327,330,349],"attack":[64,69,99,112,132,151,189,254,267,297,314,364],"effectiveness,":[65],"camouflages":[70,77],"are":[71],"employed,":[73],"which":[74,279,360],"makes":[75],"overly":[78],"conspicuous":[79],"reduces":[81],"visual":[83],"stealth.":[84,161],"core":[86],"issue":[87],"is":[88,173,195,214],"how":[89],"use":[91],"minimal":[92],"concentrated":[94],"camouflage":[95,190],"effect.":[100],"Addressing":[101],"this,":[102],"our":[103,146,313,337],"research":[104],"focuses":[105],"developing":[107],"more":[108],"subtle":[109],"efficient":[111],"methods":[113],"can":[115,339],"better":[116],"evade":[117],"practical":[120],"settings.":[121],"Based":[122],"these":[124],"principles,":[125],"this":[126],"paper":[127],"proposes":[128],"a":[129,136,192,204,293,362],"local":[130],"method":[133,315,338],"driven":[134],"by":[135,353],"Maximum":[137],"Aggregated":[138],"Region":[139],"Sparseness":[140],"(MARS)":[141],"strategy.":[142],"simpler":[144],"terms,":[145],"approach":[147],"strategically":[148],"concentrates":[149],"specific":[154],"areas":[155],"enhance":[157],"while":[159],"maintaining":[160],"aggregation":[165,170,179],"of":[166,256,269,283,329],"attack-camouflaged":[167],"regions,":[168,191],"an":[169,281],"regularization":[171,194],"term":[172],"designed":[174,196],"constrain":[176],"mask":[178,200],"matrix":[180],"based":[181],"face-adjacency":[184],"relationships.":[185],"minimize":[187],"sparseness":[193],"make":[198],"weights":[201],"tend":[202],"toward":[203],"U-shaped":[205],"distribution":[206],"limit":[208],"extreme":[209],"values.":[210],"Additionally,":[211],"rendering":[213],"used":[215],"obtain":[217],"gradient-propagating":[218],"multi-angle":[219],"augmented":[220],"data":[221],"suppress":[223],"model's":[225],"locate":[228],"universal":[229],"critical":[230],"decision":[231,331],"regions":[232],"from":[233,321],"multiple":[234],"angles.":[235],"technical":[237],"strategies":[238],"ensure":[239],"remain":[244],"effective":[245],"across":[246,357],"different":[247,257,322,344,358],"viewpoints":[248],"conditions.":[250],"We":[251],"test":[252],"region":[258],"selection":[259],"strategies.":[260],"On":[261],"CARLA":[263],"dataset,":[264],"average":[266,350],"efficiency":[268],"attacking":[270],"YOLOv3":[272],"v5":[274],"series":[275],"networks":[276],"reaches":[277],"1.724,":[278],"represents":[280],"improvement":[282],"0.986":[284],"(134%)":[285],"compared":[286],"baseline":[288],"methods.":[289],"results":[291,310,334],"demonstrate":[292,311],"enhancement":[295],"performance,":[298],"highlighting":[299],"potential":[301],"risks":[302],"systems.":[307],"experimental":[309],"achieves":[316],"both":[317],"stealth":[318],"aggressiveness":[320],"viewpoints.":[323],"Furthermore,":[324],"we":[325],"explore":[326],"transferability":[328],"regions.":[332],"indicate":[335],"be":[340],"effectively":[341],"combined":[342],"with":[343,348],"texture":[345],"optimization":[346],"methods,":[347],"precision":[351],"decreasing":[352],"0.488":[354],"0.662":[356],"networks,":[359],"indicates":[361],"strong":[363],"effectiveness.":[365]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
