乐胖代购免代理版

{"id":"https://openalex.org/W4323338444","doi":"https://doi.org/10.1109/lgrs.2023.3253189","title":"SCMA: A Scattering Center Model Attack on CNN-SAR Target Recognition","display_name":"SCMA: A Scattering Center Model Attack on CNN-SAR Target Recognition","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323338444","doi":"https://doi.org/10.1109/lgrs.2023.3253189"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3253189","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5081843417","display_name":"Weibo Qin","orcid":"https://orcid.org/0000-0002-6771-3617"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibo Qin","raw_affiliation_strings":["School of Information Science and Technology, Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059017196","display_name":"Bo Long","orcid":"https://orcid.org/0009-0006-5591-8216"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Long","raw_affiliation_strings":["School of Information Science and Technology, Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669010","display_name":"Feng Wang","orcid":"https://orcid.org/0000-0002-2378-9126"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["School of Information Science and Technology, Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.409,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.999976,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":90},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.999,"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":0.999,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9983,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9579,"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/interpretability","display_name":"Interpretability","score":0.73975927},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43826392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81341636},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.73975927},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.671887},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.66417605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5601537},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49375948},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45651743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43826392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38393766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35367578},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3253189","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai","award_id":"20ZR1406300"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61991421"}],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W1965572316","https://openalex.org/W2158672843","https://openalex.org/W2169164332","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2333122909","https://openalex.org/W2410591237","https://openalex.org/W2589263706","https://openalex.org/W2596473454","https://openalex.org/W2963542245","https://openalex.org/W3092021058","https://openalex.org/W3096831136","https://openalex.org/W3130760752","https://openalex.org/W3206904477","https://openalex.org/W4285295676","https://openalex.org/W4293846201","https://openalex.org/W4297775537","https://openalex.org/W4310854133","https://openalex.org/W4313855808"],"related_works":["https://openalex.org/W4390569940","https://openalex.org/W4388422664","https://openalex.org/W4361193272","https://openalex.org/W4312407344","https://openalex.org/W4310278675","https://openalex.org/W4247136043","https://openalex.org/W2963326959","https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W2806259446"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,69,84],"networks":[2],"(CNNs)":[3],"have":[4,39],"been":[5],"widely":[6],"used":[7],"in":[8,137],"SAR":[9],"(Synthetic":[10],"Aperture":[11],"Radar)":[12],"target":[13],"recognition,":[14],"which":[15,78,95],"can":[16,73,79,101],"extract":[17],"feature":[18],"automatically.":[19],"However,":[20],"due":[21],"to":[22,30,82,107,130],"its":[23,57],"own":[24],"structural":[25],"flaws,":[26],"CNNs":[27],"are":[28],"easy":[29],"be":[31,80],"fooled":[32],"by":[33],"adversarial":[34],"examples,":[35],"even":[36],"if":[37],"they":[38],"excellent":[40,135],"performance.":[41],"In":[42,86,113],"this":[43],"letter,":[44],"a":[45,75],"novel":[46],"attack":[47,52,121,141],"named":[48],"scattering":[49,90],"center":[50,91],"model":[51,92],"(SCMA)":[53],"is":[54,96,117,128],"designed,":[55],"and":[56,146],"generation":[58],"process":[59],"does":[60],"not":[61],"rely":[62],"on":[63],"the":[64,97,104,109,114,124,150],"prior":[65],"knowledge":[66],"of":[67,99,111,139,153],"any":[68,83],"network.":[70,85],"Therefore,":[71],"we":[72],"get":[74],"stable":[76],"way":[77],"applied":[81],"addition,":[87],"an":[88],"improved":[89],"extraction":[93],"method,":[94],"pre-part":[98],"SCMA,":[100],"filter":[102],"out":[103],"useless":[105],"noise":[106],"optimize":[108],"stability":[110],"attack.":[112],"experiment,":[115],"SCMA":[116,133],"compared":[118],"with":[119],"advanced":[120],"algorithms.":[122],"From":[123],"experimental":[125],"results,":[126],"it":[127],"clear":[129],"find":[131],"that":[132],"has":[134],"performance":[136],"terms":[138],"transfer":[140],"success":[142],"rate.":[143],"Furthermore,":[144],"visualization":[145],"interpretability":[147],"analysis":[148],"underpin":[149],"theoretical":[151],"feasibility":[152],"SCMA.":[154]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4323338444","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-09T08:52:21.565289","created_date":"2023-03-08"}