{"id":"https://openalex.org/W7116881503","doi":"https://doi.org/10.1109/tce.2025.3647751","title":"An Adversarial Defense Framework for Consumer UAV Systems: Case Study of Cotton Apical Bud Detection Against AI-Enabled Attacks","display_name":"An Adversarial Defense Framework for Consumer UAV Systems: Case Study of Cotton Apical Bud Detection Against AI-Enabled Attacks","publication_year":2025,"publication_date":"2025-12-23","ids":{"openalex":"https://openalex.org/W7116881503","doi":"https://doi.org/10.1109/tce.2025.3647751"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2025.3647751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3647751","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5101876317","display_name":"Jing Nie","orcid":"https://orcid.org/0000-0001-9872-9286"},"institutions":[{"id":"https://openalex.org/I102208913","display_name":"Shihezi University","ror":"https://ror.org/04x0kvm78","country_code":"CN","type":"education","lineage":["https://openalex.org/I102208913"]},{"id":"https://openalex.org/I2801312332","display_name":"Xinjiang Production and Construction Corps","ror":"https://ror.org/03hcmxw73","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I2801312332"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Nie","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, and the Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, and the Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, China","institution_ids":["https://openalex.org/I2801312332","https://openalex.org/I102208913"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121041400","display_name":"Tao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I102208913","display_name":"Shihezi University","ror":"https://ror.org/04x0kvm78","country_code":"CN","type":"education","lineage":["https://openalex.org/I102208913"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China","institution_ids":["https://openalex.org/I102208913"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048450450","display_name":"Y. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I102208913","display_name":"Shihezi University","ror":"https://ror.org/04x0kvm78","country_code":"CN","type":"education","lineage":["https://openalex.org/I102208913"]},{"id":"https://openalex.org/I2801312332","display_name":"Xinjiang Production and Construction Corps","ror":"https://ror.org/03hcmxw73","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I2801312332"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, and the Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, and the Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, China","institution_ids":["https://openalex.org/I2801312332","https://openalex.org/I102208913"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045186933","display_name":"Xuewei Chao","orcid":"https://orcid.org/0000-0001-7559-0293"},"institutions":[{"id":"https://openalex.org/I102208913","display_name":"Shihezi University","ror":"https://ror.org/04x0kvm78","country_code":"CN","type":"education","lineage":["https://openalex.org/I102208913"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewei Chao","raw_affiliation_strings":["School of Energy and Materials, Institute of Bingtuan Energy Development Research, Shihezi University, Shihezi, China"],"affiliations":[{"raw_affiliation_string":"School of Energy and Materials, Institute of Bingtuan Energy Development Research, Shihezi University, Shihezi, China","institution_ids":["https://openalex.org/I102208913"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5094259793","display_name":"S. Erci\u015fli","orcid":null},"institutions":[{"id":"https://openalex.org/I64134780","display_name":"Atat\u00fcrk University","ror":"https://ror.org/03je5c526","country_code":"TR","type":"education","lineage":["https://openalex.org/I64134780"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sezai Ercisli","raw_affiliation_strings":["Faculty of Agriculture, Ataturk University, Erzurum, Türkiye"],"affiliations":[{"raw_affiliation_string":"Faculty of Agriculture, Ataturk University, Erzurum, Türkiye","institution_ids":["https://openalex.org/I64134780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101876317"],"corresponding_institution_ids":["https://openalex.org/I102208913","https://openalex.org/I2801312332"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8138079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"1","first_page":"1562","last_page":"1573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.5629000067710876,"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":0.5629000067710876,"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/T11133","display_name":"UAV Applications and Optimization","score":0.3116999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0340999998152256,"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/adversarial-system","display_name":"Adversarial system","score":0.9115999937057495},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6600000262260437},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5575000047683716},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4936000108718872},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4702000021934509},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.453900009393692}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9115999937057495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161999940872192},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6600000262260437},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5575000047683716},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.453900009393692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4316999912261963},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38580000400543213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.325300008058548},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26249998807907104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3647751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3647751","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.713499128818512,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W4312890272","https://openalex.org/W4322626658","https://openalex.org/W4362714356","https://openalex.org/W4376109777","https://openalex.org/W4380433725","https://openalex.org/W4380609838","https://openalex.org/W4387969402","https://openalex.org/W4391216250","https://openalex.org/W4391604233","https://openalex.org/W4391759532","https://openalex.org/W4393032097","https://openalex.org/W4399882840","https://openalex.org/W4399929508","https://openalex.org/W4400410159","https://openalex.org/W4400621437","https://openalex.org/W4401613016","https://openalex.org/W4401692221","https://openalex.org/W4402688395","https://openalex.org/W4402916929","https://openalex.org/W4403124934","https://openalex.org/W4403558353","https://openalex.org/W4404095140","https://openalex.org/W4404688208","https://openalex.org/W4405022406","https://openalex.org/W4405282523","https://openalex.org/W4406047389","https://openalex.org/W4406254351","https://openalex.org/W4406611331","https://openalex.org/W4408181589","https://openalex.org/W4409633898","https://openalex.org/W4409659408","https://openalex.org/W4409883237","https://openalex.org/W4410118623","https://openalex.org/W4411814470","https://openalex.org/W4412722209","https://openalex.org/W4413630552"],"related_works":[],"abstract_inverted_index":{"Consumer-grade":[0],"agricultural":[1,145],"UAV":[2,129],"systems":[3,13],"are":[4],"increasingly":[5],"adopted":[6],"for":[7,89,127],"crop":[8],"monitoring,":[9],"yet":[10],"their":[11],"perception":[12],"remain":[14],"highly":[15],"vulnerable":[16],"to":[17,60,137],"AI-enabled":[18],"attacks":[19],"and":[20,45,55,67,78,94,108,141,147],"short-term":[21,37],"environmental":[22],"disturbances.":[23],"To":[24,69],"address":[25],"this,":[26],"we":[27],"propose":[28],"MTCF-TaGN,":[29],"an":[30],"adversarial":[31,80,92,115,158],"defense":[32],"framework":[33],"that":[34,98],"leverages":[35],"a":[36,134],"multi-modal":[38,58,154],"temporal":[39,53],"dataset":[40],"synchronized":[41],"across":[42],"RGB,":[43],"multi-spectral,":[44],"thermal":[46],"infrared":[47],"sequences.":[48],"The":[49],"proposed":[50],"MTCF-Net":[51],"captures":[52],"dependencies":[54],"adaptively":[56],"fuses":[57],"features":[59],"mitigate":[61],"the":[62,72,83],"effects":[63],"of":[64],"wind,":[65],"illumination,":[66],"occlusion.":[68],"evaluate":[70],"robustness,":[71],"TaGN":[73],"module":[74,85],"generates":[75],"digital,":[76],"physical,":[77],"cross-modal":[79],"samples,":[81],"while":[82],"PANDA":[84],"employs":[86],"reinforcement":[87],"learning":[88],"both":[90,139],"real-time":[91,128],"detection":[93,101],"filtering.":[95],"Experiments":[96],"demonstrate":[97],"MTCF-TaGN":[99],"improves":[100],"robustness":[102],"by":[103],"achieving":[104],"12.4%":[105],"higher":[106],"mAP":[107],"15.7%":[109],"lower":[110],"false":[111],"positives":[112],"under":[113],"strong":[114],"conditions,":[116],"with":[117],"inference":[118],"latency":[119],"below":[120],"80":[121],"ms,":[122],"which":[123],"makes":[124],"it":[125],"suitable":[126],"deployment.":[130],"This":[131],"work":[132],"highlights":[133],"practical":[135],"solution":[136],"enhance":[138],"accuracy":[140],"security":[142],"resilience":[143],"in":[144],"UAVs,":[146],"more":[148],"broadly,":[149],"provide":[150],"insights":[151],"into":[152],"securing":[153],"consumer":[155],"devices":[156],"against":[157],"threats.":[159]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-23T00:00:00"}