{"id":"https://openalex.org/W4381149367","doi":"https://doi.org/10.3390/rs15123157","title":"Defending against Poisoning Attacks in Aerial Image Semantic Segmentation with Robust Invariant Feature Enhancement","display_name":"Defending against Poisoning Attacks in Aerial Image Semantic Segmentation with Robust Invariant Feature Enhancement","publication_year":2023,"publication_date":"2023-06-17","ids":{"openalex":"https://openalex.org/W4381149367","doi":"https://doi.org/10.3390/rs15123157"},"language":"en","primary_location":{"id":"doi:10.3390/rs15123157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123157","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3157/pdf?version=1686986491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/12/3157/pdf?version=1686986491","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003378750","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-5765-0827"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Information and Navigation, Air Force Engineering University, FengHao East Road, Xi\u2019an 710082, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Navigation, Air Force Engineering University, FengHao East Road, Xi\u2019an 710082, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691435","display_name":"Buhong Wang","orcid":"https://orcid.org/0000-0001-5097-2922"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Buhong Wang","raw_affiliation_strings":["School of Information and Navigation, Air Force Engineering University, FengHao East Road, Xi\u2019an 710082, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Navigation, Air Force Engineering University, FengHao East Road, Xi\u2019an 710082, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102836500","display_name":"Chuanlei Zhang","orcid":"https://orcid.org/0000-0002-2053-2755"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanlei Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Tianjin University of Science and Technology, Dagu South Road, Hexi District, Tianjin 300457, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Tianjin University of Science and Technology, Dagu South Road, Hexi District, Tianjin 300457, China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732105","display_name":"Yaohui Liu","orcid":"https://orcid.org/0000-0002-3041-3557"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaohui Liu","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, FengMing Road, LiCheng District, Jinan 250101, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, FengMing Road, LiCheng District, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075799102","display_name":"Jianxin Guo","orcid":"https://orcid.org/0000-0003-0490-7649"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Guo","raw_affiliation_strings":["School of Electronic Information, Xijing University, XiJing Road, Chang\u2019an District, Xi\u2019an 710123, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Xijing University, XiJing Road, Chang\u2019an District, Xi\u2019an 710123, China","institution_ids":["https://openalex.org/I4210162994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100732105"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.063,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81139658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"12","first_page":"3157","last_page":"3157"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9729999899864197,"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":0.9697999954223633,"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/aerial-image","display_name":"Aerial image","score":0.7451479434967041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7433980107307434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6563922166824341},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.62224280834198},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.58788001537323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5424980521202087},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5143862366676331},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5074967741966248},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48116883635520935},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44677969813346863},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34359508752822876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33405035734176636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09111994504928589}],"concepts":[{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.7451479434967041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433980107307434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6563922166824341},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.62224280834198},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.58788001537323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5424980521202087},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5143862366676331},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5074967741966248},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48116883635520935},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44677969813346863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34359508752822876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33405035734176636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09111994504928589},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15123157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123157","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3157/pdf?version=1686986491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:288277d8aee7442aa7f71c7cde9971c3","is_oa":true,"landing_page_url":"https://doaj.org/article/288277d8aee7442aa7f71c7cde9971c3","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":"Remote Sensing, Vol 15, Iss 12, p 3157 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/12/3157/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15123157","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 15; Issue 12; Pages: 3157","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15123157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123157","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3157/pdf?version=1686986491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G246871716","display_name":null,"funder_award_id":"ZR2021QD074","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2470170655","display_name":null,"funder_award_id":"61671465","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3381456370","display_name":null,"funder_award_id":"QD074","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G4562378888","display_name":null,"funder_award_id":"42177453","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381149367.pdf"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2557044351","https://openalex.org/W2565639579","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2788682721","https://openalex.org/W2796004214","https://openalex.org/W2806299729","https://openalex.org/W2899411857","https://openalex.org/W2922028018","https://openalex.org/W2946227741","https://openalex.org/W2947109354","https://openalex.org/W2963229629","https://openalex.org/W2963881378","https://openalex.org/W2964043980","https://openalex.org/W2964201752","https://openalex.org/W2992240579","https://openalex.org/W2994619704","https://openalex.org/W2996836954","https://openalex.org/W2997502936","https://openalex.org/W3006834354","https://openalex.org/W3008156909","https://openalex.org/W3028752951","https://openalex.org/W3035367371","https://openalex.org/W3035821888","https://openalex.org/W3037650204","https://openalex.org/W3098881417","https://openalex.org/W3110908156","https://openalex.org/W3111390112","https://openalex.org/W3117200447","https://openalex.org/W3127159478","https://openalex.org/W3128055887","https://openalex.org/W3132328672","https://openalex.org/W3132676275","https://openalex.org/W3133846602","https://openalex.org/W3138516171","https://openalex.org/W3156066202","https://openalex.org/W3163222347","https://openalex.org/W3163506504","https://openalex.org/W3164186389","https://openalex.org/W3167181168","https://openalex.org/W3177280989","https://openalex.org/W3183898570","https://openalex.org/W3185031484","https://openalex.org/W3194085935","https://openalex.org/W3207005322","https://openalex.org/W3207315023","https://openalex.org/W3212158867","https://openalex.org/W3212445444","https://openalex.org/W3213515577","https://openalex.org/W3214399478","https://openalex.org/W3214605888","https://openalex.org/W4205365435","https://openalex.org/W4214594991","https://openalex.org/W4226013274","https://openalex.org/W4226110825","https://openalex.org/W4282970004","https://openalex.org/W4283819233","https://openalex.org/W4285554319","https://openalex.org/W4288758078","https://openalex.org/W4298325779","https://openalex.org/W4309717800","https://openalex.org/W4312611884","https://openalex.org/W4312994792","https://openalex.org/W4313032421","https://openalex.org/W4320717670","https://openalex.org/W4322504818","https://openalex.org/W4323317490","https://openalex.org/W4323897048","https://openalex.org/W4379033817","https://openalex.org/W4380607137","https://openalex.org/W6761100157","https://openalex.org/W6780555024","https://openalex.org/W6790139290","https://openalex.org/W6790739679","https://openalex.org/W6797807579","https://openalex.org/W6799337647","https://openalex.org/W6802797584","https://openalex.org/W6804629983","https://openalex.org/W6805641521","https://openalex.org/W6848189669","https://openalex.org/W6850110638"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W4230315250"],"abstract_inverted_index":{"The":[0,115],"outstanding":[1],"performance":[2,63],"of":[3,33,55,160,173],"deep":[4],"neural":[5],"networks":[6],"(DNNs)":[7],"in":[8,12,20,91,164],"multiple":[9],"computer":[10],"vision":[11],"recent":[13],"years":[14],"has":[15,28,110],"promoted":[16],"its":[17],"widespread":[18],"use":[19],"aerial":[21,86,180],"image":[22,87,181],"semantic":[23,88,112],"segmentation.":[24],"Nonetheless,":[25],"prior":[26],"research":[27],"demonstrated":[29],"the":[30,119,158,165,171,185],"high":[31],"susceptibility":[32],"DNNs":[34,45],"to":[35,46,71,121,156,169],"adversarial":[36],"attacks.":[37],"This":[38],"poses":[39],"significant":[40],"security":[41],"risks":[42],"when":[43],"applying":[44],"safety-critical":[47],"earth":[48],"observation":[49],"missions.":[50],"As":[51],"an":[52],"essential":[53],"means":[54],"attacking":[56],"DNNs,":[57],"data":[58,106],"poisoning":[59,78,107,122,174],"attacks":[60,108,123],"destroy":[61],"model":[62,66],"by":[64,75,124],"contaminating":[65],"training":[67],"data,":[68],"allowing":[69],"attackers":[70],"control":[72],"prediction":[73],"results":[74],"carefully":[76],"crafting":[77],"samples.":[79,175],"Toward":[80],"building":[81],"a":[82,96,134],"more":[83,189],"robust":[84,97,128,162,190],"DNNs-based":[85],"segmentation":[89,113],"model,":[90],"this":[92],"study,":[93],"we":[94],"proposed":[95,186],"invariant":[98,129],"feature":[99,136,141,146,152,166],"enhancement":[100,137,142,147],"network":[101],"(RIFENet)":[102],"that":[103,184],"can":[104],"resist":[105],"and":[109,126,150,191],"superior":[111],"performance.":[114],"constructed":[116],"RIFENet":[117,132],"improves":[118],"resistance":[120],"extracting":[125],"enhancing":[127],"features.":[130],"Specifically,":[131],"uses":[133],"texture":[135],"module":[138,143,148,154],"(T-FEM),":[139],"structural":[140],"(S-FEM),":[144],"global":[145],"(G-FEM),":[149],"multi-resolution":[151],"fusion":[153],"(MR-FFM)":[155],"enhance":[157],"representation":[159],"different":[161],"features":[163],"extraction":[167],"process":[168],"suppress":[170],"interference":[172],"Experiments":[176],"on":[177],"several":[178],"benchmark":[179],"datasets":[182],"demonstrate":[183],"method":[187],"is":[188],"exhibits":[192],"better":[193],"generalization":[194],"than":[195],"other":[196],"state-of-the-art":[197],"methods.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2023-06-19T00:00:00"}
