{"id":"https://openalex.org/W4385484679","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191329","title":"Improving the Transferability of Adversarial Attacks through Experienced Precise Nesterov Momentum","display_name":"Improving the Transferability of Adversarial Attacks through Experienced Precise Nesterov Momentum","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484679","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191329"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"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/A5070440437","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0003-2324-2152"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Nanjing,China","Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630403","display_name":"Jinwei Wang","orcid":"https://orcid.org/0000-0002-9366-5671"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Wang","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Nanjing,China","Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462825","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0002-2292-4592"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Nanjing,China","Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026608819","display_name":"Yufeng Wu","orcid":"https://orcid.org/0000-0002-9086-6080"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Wu","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Nanjing,China","Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749734","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0002-9030-7393"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":["Qilu University of Technology,Jinan,China","Qilu University of Technology, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology,Jinan,China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102018721","display_name":"Xiangyang Luo","orcid":"https://orcid.org/0000-0001-6062-2950"},"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":"Xiangyang Luo","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University,Zhengzhou,China","PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University,Zhengzhou,China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070440437"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70808148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.978600025177002,"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":0.9750999808311462,"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/overfitting","display_name":"Overfitting","score":0.8515645861625671},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.7770243883132935},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7645264267921448},{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.6814850568771362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6358519792556763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4885424077510834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46101394295692444},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4212769865989685},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4145129919052124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3847498297691345},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28473079204559326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2387465536594391}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8515645861625671},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.7770243883132935},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7645264267921448},{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.6814850568771362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358519792556763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4885424077510834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46101394295692444},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4212769865989685},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4145129919052124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3847498297691345},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28473079204559326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2387465536594391},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1988720110","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2523382659","https://openalex.org/W2570685808","https://openalex.org/W2607219512","https://openalex.org/W2626997132","https://openalex.org/W2774644650","https://openalex.org/W2896839830","https://openalex.org/W2905810447","https://openalex.org/W2924785549","https://openalex.org/W2962847335","https://openalex.org/W2963001136","https://openalex.org/W2963384482","https://openalex.org/W2963744840","https://openalex.org/W2963920068","https://openalex.org/W2964350391","https://openalex.org/W2969542116","https://openalex.org/W2969945254","https://openalex.org/W2971403019","https://openalex.org/W2976752987","https://openalex.org/W2991496458","https://openalex.org/W2997442807","https://openalex.org/W3034217077","https://openalex.org/W3108341030","https://openalex.org/W3171288285","https://openalex.org/W3186991201","https://openalex.org/W4221155348","https://openalex.org/W4224990403","https://openalex.org/W4300511536","https://openalex.org/W6739924614","https://openalex.org/W6746402973","https://openalex.org/W6810610653"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W4200630034","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W4392340763","https://openalex.org/W4283325551","https://openalex.org/W4403006689"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"are":[3],"vulnerable":[4],"to":[5,34,107,113,159],"adversarial":[6,10,36,48,65,115],"examples.":[7,49],"Although":[8],"the":[9,23,40,45,58,63,69,95,108,121,130,137,140,145,149,152,169,175,178,183,203,214],"example":[11],"has":[12],"superior":[13],"white-box":[14],"attack":[15],"success":[16],"rate,":[17],"its":[18],"transferability":[19,46],"is":[20,27,79,217],"poor":[21],"under":[22],"black-box":[24],"setting.":[25],"Momentum":[26,76],"often":[28],"integrated":[29],"into":[30,103,133],"attacks":[31],"so":[32],"as":[33,194],"prevent":[35],"examples":[37,66,116],"from":[38],"overfitting":[39,68],"source":[41,70],"model":[42],"and":[43,192,209],"improve":[44,187],"of":[47,84,97,111,139,151,177],"How-ever,":[50],"conventional":[51,125,221],"momentum":[52,112,127,163,198,222],"merely":[53],"accumulates":[54],"few":[55],"gradients":[56,132],"during":[57,120,144,182],"early":[59,64,122],"iterations,":[60],"resulting":[61],"in":[62],"already":[67],"model.":[71],"Therefore,":[72],"we":[73,189],"propose":[74,160],"Experienced":[75,195],"(EM),":[77],"which":[78,165],"trained":[80,208],"on":[81,202],"a":[82],"set":[83],"models":[85,102,119,211],"derived":[86],"by":[87],"Random":[88],"Channels":[89],"Swapping":[90],"(RCS).":[91],"Since":[92],"EM":[93,106,191],"takes":[94],"direction":[96],"loss":[98],"increasing":[99],"for":[100,223],"multiple":[101],"account,":[104],"assigning":[105],"initial":[109],"value":[110],"makes":[114],"transferable":[117],"across":[118],"iterations.":[123],"Moreover,":[124],"Nesterov":[126,162,197],"only":[128,167],"take":[129],"previous":[131],"consideration":[134],"but":[135,172],"ignore":[136],"gradient":[138,176],"current":[141,179],"data":[142,180],"point":[143,181],"whole":[146],"pre-update,":[147],"making":[148],"estimate":[150],"next":[153],"position":[154],"imprecise.":[155],"It":[156],"prompts":[157],"us":[158],"Precise":[161,196],"(PN),":[164],"not":[166],"retains":[168],"looking-ahead":[170],"property":[171],"also":[173],"adopts":[174],"pre-update.":[184],"To":[185],"further":[186],"transferability,":[188],"combine":[190],"PN":[193],"(EPN).":[199],"Extensive":[200],"experiments":[201],"ImageNet":[204],"dataset":[205],"against":[206],"normally":[207],"defense":[210],"demonstrate":[212],"that":[213],"proposed":[215],"EPN":[216],"more":[218],"effective":[219],"than":[220],"improving":[224],"transferability.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}