{"id":"https://openalex.org/W3095480789","doi":"https://doi.org/10.1142/s0219691320500769","title":"Enhancing adversarial attack transferability with multi-scale feature attack","display_name":"Enhancing adversarial attack transferability with multi-scale feature attack","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3095480789","doi":"https://doi.org/10.1142/s0219691320500769","mag":"3095480789"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691320500769","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691320500769","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-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/A5039436075","display_name":"Caixia Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caixia Sun","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050199771","display_name":"Lian Zou","orcid":"https://orcid.org/0000-0001-9090-1782"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lian Zou","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090656144","display_name":"Cien Fan","orcid":"https://orcid.org/0000-0002-4973-6444"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cien Fan","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101982423","display_name":"Yu Shi","orcid":"https://orcid.org/0000-0001-5760-2422"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Shi","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100782688","display_name":"Yifeng Liu","orcid":"https://orcid.org/0000-0003-2939-1482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifeng Liu","raw_affiliation_strings":["National Engineering Laboratory for Public Safety, Risk Perception and Control by Big Data (NEL-PSRPC), Beijing 100041, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Public Safety, Risk Perception and Control by Big Data (NEL-PSRPC), Beijing 100041, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050199771"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13505617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"19","issue":"02","first_page":"2050076","last_page":"2050076"},"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":0.9611999988555908,"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":0.9513000249862671,"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":0.8980480432510376},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7503146529197693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305739521980286},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.6974139213562012},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6091337203979492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5420466661453247},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.471064031124115},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45148733258247375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4361705183982849},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41425400972366333},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30974462628364563}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8980480432510376},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7503146529197693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305739521980286},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.6974139213562012},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6091337203979492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5420466661453247},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.471064031124115},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45148733258247375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4361705183982849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41425400972366333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30974462628364563},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/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":[{"id":"doi:10.1142/s0219691320500769","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691320500769","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2302255633","https://openalex.org/W2618099328","https://openalex.org/W2752782242","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2795727551","https://openalex.org/W2884877436","https://openalex.org/W2896078964","https://openalex.org/W2947874337","https://openalex.org/W2963178695","https://openalex.org/W2963627347","https://openalex.org/W2963857521","https://openalex.org/W2964171870","https://openalex.org/W2964191536"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W4200630034","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W2997056298","https://openalex.org/W2950864148","https://openalex.org/W2570685808"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"are":[3,126],"vulnerable":[4],"to":[5,74,89,92,117,156],"adversarial":[6,22,37,87,124,149],"examples,":[7,150],"which":[8,78],"can":[9,104],"fool":[10],"models":[11,171],"by":[12,40],"adding":[13],"carefully":[14],"designed":[15],"perturbations.":[16],"An":[17],"intriguing":[18],"phenomenon":[19],"is":[20,165],"that":[21,102,163,179],"examples":[23,38,125],"often":[24],"exhibit":[25],"transferability,":[26,77],"thus":[27],"making":[28],"black-box":[29,62,203],"attacks":[30],"effective":[31,166],"in":[32,55,60,133,138],"real-world":[33],"applications.":[34],"However,":[35],"the":[36,45,51,70,80,86,93,97,114,119,122,134,139,146,158,180,185,201],"generated":[39],"existing":[41],"methods":[42,182],"typically":[43],"overfit":[44],"structure":[46],"and":[47,109,121,161,192],"feature":[48,72,82,140],"representation":[49,84,95],"of":[50,85,96,113,148],"source":[52,115],"model,":[53],"resulting":[54],"a":[56,61,106,110],"low":[57],"success":[58],"rate":[59],"manner.":[63],"To":[64,143],"address":[65],"this":[66],"issue,":[67],"we":[68,103,151],"propose":[69],"multi-scale":[71],"attack":[73,76],"boost":[75],"adjusts":[79],"internal":[81,94],"space":[83,141],"image":[88],"get":[90],"far":[91],"original":[98,129],"image.":[99],"We":[100],"show":[101,162,178],"select":[105],"low-level":[107],"layer":[108,112],"high-level":[111],"model":[116],"conduct":[118],"perturbations,":[120],"crafted":[123],"confused":[127],"with":[128,172],"images,":[130],"not":[131],"just":[132],"class":[135],"but":[136],"also":[137],"representations.":[142],"further":[144,160],"improve":[145],"transferability":[147],"apply":[152],"reverse":[153],"cross-entropy":[154],"loss":[155],"reduce":[157],"overfitting":[159],"it":[164],"for":[167],"attacking":[168],"adversarially":[169],"trained":[170],"strong":[173],"defensive":[174],"ability.":[175],"Extensive":[176],"experiments":[177],"proposed":[181],"consistently":[183],"outperform":[184],"iterative":[186,194],"fast":[187,195],"gradient":[188,196],"sign":[189,197],"method":[190,198],"(IFGSM)":[191],"momentum":[193],"(MIFGSM)":[199],"under":[200],"challenging":[202],"setting.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
