{"id":"https://openalex.org/W4205287998","doi":"https://doi.org/10.1145/3503047.3503136","title":"SAR-GPA: SAR Generation Perturbation Algorithm","display_name":"SAR-GPA: SAR Generation Perturbation Algorithm","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4205287998","doi":"https://doi.org/10.1145/3503047.3503136"},"language":"en","primary_location":{"id":"doi:10.1145/3503047.3503136","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100462347","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0001-8578-2635"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705291","display_name":"Weijie Xia","orcid":"https://orcid.org/0000-0002-9616-8259"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Xia","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070677446","display_name":"Yongzhen Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhen Lei","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.996999979019165,"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":0.996999979019165,"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":0.9900000095367432,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9154000282287598,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7815850377082825},{"id":"https://openalex.org/keywords/jamming","display_name":"Jamming","score":0.7665441036224365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7137603759765625},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7058907747268677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5190109014511108},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.4992649555206299},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44718775153160095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4270063042640686}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7815850377082825},{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.7665441036224365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7137603759765625},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7058907747268677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5190109014511108},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.4992649555206299},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44718775153160095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4270063042640686},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503047.3503136","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1512918758","https://openalex.org/W2009625606","https://openalex.org/W2013784556","https://openalex.org/W2097727901","https://openalex.org/W2112796928","https://openalex.org/W2126773225","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2344751326","https://openalex.org/W2796132388","https://openalex.org/W2884092646","https://openalex.org/W2905015565","https://openalex.org/W2919115771","https://openalex.org/W2930249865","https://openalex.org/W2963542245","https://openalex.org/W2981395728","https://openalex.org/W3011574762"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"The":[0,68],"deep":[1,26],"learning":[2,27],"is":[3],"widely":[4],"used":[5],"in":[6,29,33],"optical":[7,30],"image":[8,35],"and":[9,44,145,158,168],"synthetic":[10],"aperture":[11],"radar":[12],"(SAR)":[13],"image.":[14,31],"Current":[15],"academic":[16],"research":[17],"shows":[18],"that":[19],"adversarial":[20,110,140,166],"perturbation":[21,61],"can":[22,76,97,142,187,193],"effectively":[23,194],"attack":[24,195],"the":[25,39,73,81,91,105,124,138,162,165,170,175,179],"network":[28],"However,":[32],"SAR":[34,59,92,139,181],"target":[36,65],"recognition":[37,66,198],"network,":[38],"existence":[40],"of":[41,72,156,164],"universal":[42,109],"perturbations":[43,107,111],"generation":[45,60],"approach":[46,186],"needs":[47],"to":[48,115,122,160,174],"be":[49,143],"further":[50],"explored.":[51],"Here,":[52],"this":[53,130],"article":[54],"firstly":[55],"proposes":[56],"a":[57,117,154],"systematic":[58],"algorithm":[62],"(SAR-GPA)":[63],"for":[64],"network.":[67],"modulation":[69,171],"phase":[70],"sequences":[71],"jamming":[74,94,183],"points":[75],"vary":[77],"casually":[78],"by":[79,132],"using":[80],"state-of-the-art":[82],"electromagnetic":[83],"metasurface":[84],"technology.":[85],"Therefore,":[86],"when":[87],"it":[88,96],"acts":[89],"on":[90],"deceptive":[93],"system,":[95],"produce":[98],"artificial":[99],"controllable":[100],"perturbations.":[101],"First,":[102],"we":[103,128],"take":[104],"imperceptible":[106,190],"from":[108,178],"(UAP)":[112],"as":[113],"reference":[114],"construct":[116],"unconstrained":[118],"minimum":[119],"optimization":[120],"problem":[121],"find":[123],"specific":[125],"sequences.":[126,172],"Then,":[127],"solve":[129],"issue":[131],"adaptive":[133],"moment":[134],"estimation":[135],"(Adam)":[136],"optimizer.Thus,":[137],"examples":[141,167],"quickly":[144,188],"flexibly":[146],"generated":[147],"through":[148],"our":[149,185],"system.":[150],"Finally,":[151],"We":[152],"design":[153],"series":[155],"simulation":[157],"experiment":[159],"verify":[161],"effectiveness":[163],"also":[169],"According":[173],"results,":[176],"different":[177],"traditional":[180],"blanket":[182],"methods,":[184],"generate":[189],"jamming,":[191],"which":[192],"three":[196],"classical":[197],"models.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}