{"id":"https://openalex.org/W4399425817","doi":"https://doi.org/10.1109/access.2024.3411055","title":"A Fast and Efficient Adversarial Attack Based on Feasible Direction Method","display_name":"A Fast and Efficient Adversarial Attack Based on Feasible Direction Method","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399425817","doi":"https://doi.org/10.1109/access.2024.3411055"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3411055","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3411055","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/access.2024.3411055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036104265","display_name":"Jiyuan Sun","orcid":"https://orcid.org/0009-0002-6899-9124"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiyuan Sun","raw_affiliation_strings":["Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0009-0002-6899-9124","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027880223","display_name":"Haibo Yu","orcid":"https://orcid.org/0009-0007-8997-9436"},"institutions":[{"id":"https://openalex.org/I199028557","display_name":"Kyushu Sangyo University","ror":"https://ror.org/01wqrpc44","country_code":"JP","type":"education","lineage":["https://openalex.org/I199028557"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haibo Yu","raw_affiliation_strings":["Department of Information Science, Faculty of Science and Engineering, Kyushu Sangyo University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, Faculty of Science and Engineering, Kyushu Sangyo University, Fukuoka, Japan","institution_ids":["https://openalex.org/I199028557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05805766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"82261","last_page":"82276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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":0.9994999766349792,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9433000087738037,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8328181505203247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7309284210205078},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3536749482154846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29091691970825195}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8328181505203247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7309284210205078},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3536749482154846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29091691970825195}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3411055","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3411055","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:daec7c548e9d4bb99473149f99f810fc","is_oa":true,"landing_page_url":"https://doaj.org/article/daec7c548e9d4bb99473149f99f810fc","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":"IEEE Access, Vol 12, Pp 82261-82276 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3411055","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3411055","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7813514814","display_name":"Constructing Integrated Development Environment for Highly Reliable Probabilistic Programs","funder_award_id":"21K11841","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1486936144","https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2108598243","https://openalex.org/W2774644650","https://openalex.org/W2963389226","https://openalex.org/W2963542245","https://openalex.org/W2963693747","https://openalex.org/W2963857521","https://openalex.org/W2976752987","https://openalex.org/W2991163709","https://openalex.org/W2996564870","https://openalex.org/W2996950444","https://openalex.org/W3091870967","https://openalex.org/W3118608800","https://openalex.org/W4214592245","https://openalex.org/W4288359148","https://openalex.org/W4293846201","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6729756640","https://openalex.org/W6739868092","https://openalex.org/W6759129252","https://openalex.org/W6761839128","https://openalex.org/W6768366551","https://openalex.org/W6771809012","https://openalex.org/W6780973103","https://openalex.org/W6783920880","https://openalex.org/W6784493056","https://openalex.org/W6787972765","https://openalex.org/W6849189713"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119"],"abstract_inverted_index":{"It":[0],"has":[1],"been":[2],"shown":[3],"that":[4,171],"deep":[5],"neural":[6],"networks":[7],"can":[8],"be":[9],"easily":[10],"fooled":[11],"by":[12,20,35],"adversarial":[13,33,109,175],"examples,":[14,110],"which":[15],"are":[16],"samples":[17],"delicately":[18],"crafted":[19],"adding":[21],"small":[22],"imperceptible":[23],"perturbations":[24],"to":[25,58,99,142,147],"the":[26,52,60,67,73,76,81,105,126,133,144,149,154,193,199],"input.":[27],"Most":[28],"optimization-based":[29],"white-box":[30,115],"attacks":[31],"generate":[32],"examples":[34,123,176],"formulating":[36],"a":[37,113,178,183],"constrained":[38],"optimization":[39],"problem":[40],"and":[41,103,146,165,182],"then":[42],"solving":[43],"it":[44,63],"using":[45],"gradient-based":[46],"iterative":[47],"methods.":[48,189],"During":[49],"each":[50,137],"iteration,":[51],"search":[53,77],"point":[54],"is":[55,139,157],"projected":[56],"back":[57],"satisfy":[59],"constraints":[61],"if":[62],"falls":[64],"out":[65],"of":[66,75,107,118,136,153,202],"feasible":[68,127],"region.":[69],"However,":[70],"this":[71,97],"breaks":[72],"continuity":[74],"process,":[78],"negatively":[79],"impacting":[80],"attacking":[82],"performance.":[83],"Additionally,":[84],"existing":[85,188],"methods":[86],"often":[87],"employ":[88],"an":[89],"identical":[90],"step":[91,134],"size":[92,135],"for":[93],"all":[94],"dimensions.":[95],"In":[96,130],"work,":[98],"address":[100],"these":[101],"problems":[102],"improve":[104],"performance":[106],"constructing":[108],"we":[111,197],"propose":[112],"novel":[114],"attack":[116],"capable":[117],"generating$\\ell":[119],"_{\\infty":[120],"}":[121],"$adversarial":[122],"based":[124],"on":[125,159],"direction":[128],"method.":[129],"our":[131,172,203],"attack,":[132],"dimension":[138],"carefully":[140],"adjusted":[141],"preserve":[143],"feasibility":[145],"accelerate":[148],"convergence.":[150],"The":[151,167],"efficiency":[152],"proposed":[155],"method":[156,173],"evaluated":[158],"three":[160],"widely":[161],"used":[162],"datasets(MNIST,":[163],"CIFAR10,":[164],"ImageNet).":[166],"experimental":[168],"results":[169,195],"show":[170],"generates":[174],"at":[177],"higher":[179],"success":[180],"rate":[181,186],"faster":[184],"convergence":[185],"than":[187],"To":[190],"facilitate":[191],"reproducing":[192],"experiment":[194],"presented,":[196],"make":[198],"source":[200],"code":[201],"implementation":[204],"publicly":[205],"accessible":[206],"athttps://github.com/sjysjy1/Feasible_Direction_Method_Attack.":[207]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
