{"id":"https://openalex.org/W3166328049","doi":"https://doi.org/10.48550/arxiv.2106.01617","title":"Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout","display_name":"Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout","publication_year":2021,"publication_date":"2021-06-03","ids":{"openalex":"https://openalex.org/W3166328049","doi":"https://doi.org/10.48550/arxiv.2106.01617","mag":"3166328049"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2106.01617","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.01617","pdf_url":"https://arxiv.org/pdf/2106.01617","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.01617","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082590283","display_name":"Pengfei Xie","orcid":"https://orcid.org/0000-0002-3242-6351","observed_orcids":["https://orcid.org/0000-0002-3242-6351"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie, Pengfei","raw_affiliation_strings":["Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091588180","display_name":"Linyuan Wang","orcid":"https://orcid.org/0000-0003-1087-5911","observed_orcids":["https://orcid.org/0000-0003-1087-5911"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Linyuan","raw_affiliation_strings":["Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061617562","display_name":"Ruoxi Qin","orcid":"https://orcid.org/0000-0003-0836-8179","observed_orcids":["https://orcid.org/0000-0003-0836-8179"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin, Ruoxi","raw_affiliation_strings":["Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032832863","display_name":"Kai Qiao","orcid":"https://orcid.org/0000-0001-7057-9562","observed_orcids":["https://orcid.org/0000-0001-7057-9562"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao, Kai","raw_affiliation_strings":["Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101616089","display_name":"Shuhao Shi","orcid":"https://orcid.org/0000-0003-2926-8230","observed_orcids":["https://orcid.org/0000-0003-2926-8230"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi, Shuhao","raw_affiliation_strings":["Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034306518","display_name":"Guoen Hu","orcid":"https://orcid.org/0000-0002-0424-8981","observed_orcids":["https://orcid.org/0000-0002-0424-8981"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu, Guoen","raw_affiliation_strings":["Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112729746","display_name":"Bin Yan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan, Bin","raw_affiliation_strings":["Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Imaging and Intelligent Processing , PLA Strategy Support Force Information Engineering University , Zhengzhou , China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T11424","display_name":"Security and Verification in Computing","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0,"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-examples","display_name":"adversarial examples","score":0.9950000047683716},{"id":"https://openalex.org/keywords/black-box-attacks","display_name":"black-box attacks","score":0.8560000061988831},{"id":"https://openalex.org/keywords/transferability","display_name":"transferability","score":0.6779999732971191},{"id":"https://openalex.org/keywords/attack-success-rate","display_name":"attack success rate","score":0.7770000100135803},{"id":"https://openalex.org/keywords/deep-neural-network-robustness","display_name":"deep neural network robustness","score":0.6589999794960022}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.9064019918441772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816959381103516},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6779326796531677},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5460302233695984},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5044671297073364},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.49442505836486816},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4791830778121948},{"id":"https://openalex.org/C167431342","wikidata":"https://www.wikidata.org/wiki/Q1754327","display_name":"Preconditioner","level":3,"score":0.4556148946285248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45421233773231506},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.43387675285339355},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4149824380874634},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34104177355766296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2880849838256836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23268693685531616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2250177562236786},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2106.01617","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.01617","pdf_url":"https://arxiv.org/pdf/2106.01617","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2106.01617","doi":"https://doi.org/10.48550/arxiv.2106.01617","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.01617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.01617","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.01617","pdf_url":"https://arxiv.org/pdf/2106.01617","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2783300483","display_name":null,"funder_award_id":"#61701089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G288121135","display_name":null,"funder_award_id":"61601518","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6724447595","display_name":null,"funder_award_id":"2017YFB1002502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8759910057","display_name":"\u76f4\u7ebf\u8f68\u8ff9CT\u6709\u9650\u89d2\u5ea6\u7a00\u758f\u91cd\u5efa\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61372172","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3166328049.pdf","grobid_xml":"https://content.openalex.org/works/W3166328049.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1731081199","https://openalex.org/W1945616565","https://openalex.org/W2095705004","https://openalex.org/W2130942839","https://openalex.org/W2160815625","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2516574342","https://openalex.org/W2572659264","https://openalex.org/W2604147826","https://openalex.org/W2620038827","https://openalex.org/W2746600820","https://openalex.org/W2774644650","https://openalex.org/W2787970001","https://openalex.org/W2796347433","https://openalex.org/W2892090366","https://openalex.org/W2962847335","https://openalex.org/W2962872506","https://openalex.org/W2963207607","https://openalex.org/W2963448658","https://openalex.org/W2963557656","https://openalex.org/W2964153729","https://openalex.org/W2964350391","https://openalex.org/W2969542116","https://openalex.org/W2969664989","https://openalex.org/W2976752987","https://openalex.org/W2996140774","https://openalex.org/W2996851481","https://openalex.org/W2997583194","https://openalex.org/W3034823537","https://openalex.org/W3097573595","https://openalex.org/W3106050153","https://openalex.org/W3108341030","https://openalex.org/W3152869692"],"related_works":["https://openalex.org/W4200095825","https://openalex.org/W3109751798","https://openalex.org/W4294831663","https://openalex.org/W4223551860","https://openalex.org/W2997389699","https://openalex.org/W3082537755","https://openalex.org/W4402386889","https://openalex.org/W3171288285","https://openalex.org/W3209321035","https://openalex.org/W3167903055"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks(DNNs)":[2],"is":[3,13,129],"vulnerable":[4],"to":[5],"be":[6,92],"attacked":[7],"by":[8],"adversarial":[9],"examples.":[10],"Black-box":[11],"attack":[12,21,27,72,84,118],"the":[14,32,35,39,44,59,62,71,132],"most":[15],"threatening":[16],"attack.":[17],"At":[18],"present,":[19],"black-box":[20],"methods":[22],"mainly":[23],"adopt":[24],"gradient-based":[25,134],"iterative":[26,83],"methods,":[28],"which":[29,57,90,128],"usually":[30],"limit":[31],"relationship":[33,60],"between":[34,61],"iteration":[36,55],"step":[37],"size,":[38],"number":[40],"of":[41,75,106,121],"iterations,":[42],"and":[43],"maximum":[45],"perturbation.":[46],"In":[47,77],"this":[48,66,107],"paper,":[49],"we":[50,68,79],"propose":[51,80,100],"a":[52,81,101],"new":[53],"gradient":[54,82],"framework,":[56,67],"redefines":[58],"above":[63],"three.":[64],"Under":[65],"easily":[69],"improve":[70],"success":[73,119],"rate":[74,104,120],"DI-TI-MIM.":[76],"addition,":[78],"method":[85,115],"based":[86],"on":[87,126],"input":[88],"dropout,":[89],"can":[91,116],"well":[93],"combined":[94],"with":[95],"our":[96,113],"framework.":[97],"We":[98],"further":[99],"multi":[102],"dropout":[103],"version":[105],"method.":[108],"Experimental":[109],"results":[110],"show":[111],"that":[112],"best":[114],"achieve":[117],"96.2\\%":[122],"for":[123],"defense":[124],"model":[125],"average,":[127],"higher":[130],"than":[131],"state-of-the-art":[133],"attacks.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-06-22T00:00:00"}