{"id":"https://openalex.org/W4398757421","doi":"https://doi.org/10.1109/tifs.2024.3404857","title":"Improving Transferability of Adversarial Samples via Critical Region-Oriented Feature-Level Attack","display_name":"Improving Transferability of Adversarial Samples via Critical Region-Oriented Feature-Level Attack","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398757421","doi":"https://doi.org/10.1109/tifs.2024.3404857"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2024.3404857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3404857","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Information Forensics and Security","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/A5101523123","display_name":"LI Zhi-wei","orcid":"https://orcid.org/0009-0006-0025-8046"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Li","raw_affiliation_strings":["New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-0025-8046","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020678950","display_name":"Min Ren","orcid":"https://orcid.org/0000-0002-0126-1726"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Ren","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0126-1726","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108616991","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-7905-2860"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7905-2860","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002024953","display_name":"Fangling Jiang","orcid":"https://orcid.org/0000-0003-1490-1371"},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangling Jiang","raw_affiliation_strings":["School of Computer Science, University of South China, Hengyang, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-1490-1371","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of South China, Hengyang, Hunan, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055505703","display_name":"Zhenan Sun","orcid":"https://orcid.org/0000-0003-4029-9935"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenan Sun","raw_affiliation_strings":["New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4029-9935","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9449,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87552337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"6650","last_page":"6664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9573000073432922,"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":0.9416000247001648,"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/computer-science","display_name":"Computer science","score":0.8436352014541626},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7306385636329651},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.62995445728302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5903228521347046},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5811113119125366},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5624006390571594},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5474191904067993},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5449068546295166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5419626235961914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41167575120925903},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34157395362854004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8436352014541626},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7306385636329651},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.62995445728302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5903228521347046},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5811113119125366},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5624006390571594},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5474191904067993},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5449068546295166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5419626235961914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41167575120925903},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34157395362854004},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2024.3404857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3404857","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G207383538","display_name":null,"funder_award_id":"U23B2054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2696183769","display_name":null,"funder_award_id":"62076240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3997652748","display_name":null,"funder_award_id":"62276263","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2180612164","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2618530766","https://openalex.org/W2746600820","https://openalex.org/W2774644650","https://openalex.org/W2795727551","https://openalex.org/W2798807671","https://openalex.org/W2896078964","https://openalex.org/W2924785549","https://openalex.org/W2959364614","https://openalex.org/W2962847335","https://openalex.org/W2962858109","https://openalex.org/W2963225012","https://openalex.org/W2963446712","https://openalex.org/W2963542245","https://openalex.org/W2963857521","https://openalex.org/W2964350391","https://openalex.org/W2969542116","https://openalex.org/W2972986629","https://openalex.org/W2984699060","https://openalex.org/W2991496458","https://openalex.org/W3006871679","https://openalex.org/W3034176567","https://openalex.org/W3088377098","https://openalex.org/W3098881644","https://openalex.org/W3106412272","https://openalex.org/W3152624640","https://openalex.org/W3173859330","https://openalex.org/W3186991201","https://openalex.org/W3196621661","https://openalex.org/W4214588794","https://openalex.org/W4214634256","https://openalex.org/W4214669216","https://openalex.org/W4214870408","https://openalex.org/W4221153098","https://openalex.org/W4226334005","https://openalex.org/W4226378932","https://openalex.org/W4293846201","https://openalex.org/W4301914798","https://openalex.org/W4304197304","https://openalex.org/W4308529607","https://openalex.org/W4312443924","https://openalex.org/W4312790346","https://openalex.org/W4313156423","https://openalex.org/W4313387422","https://openalex.org/W4367860319","https://openalex.org/W4376481178","https://openalex.org/W4379622969","https://openalex.org/W4382119126","https://openalex.org/W4386065604","https://openalex.org/W4386072305","https://openalex.org/W4386076145","https://openalex.org/W4386076570","https://openalex.org/W4391897266","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6731927902","https://openalex.org/W6738979955","https://openalex.org/W6746608116","https://openalex.org/W6747536865","https://openalex.org/W6750404860","https://openalex.org/W6761372651","https://openalex.org/W6768366551","https://openalex.org/W6788135285","https://openalex.org/W6790690058","https://openalex.org/W6795140394","https://openalex.org/W6796761347","https://openalex.org/W6805152169","https://openalex.org/W6809883122","https://openalex.org/W6845452229","https://openalex.org/W6846279210","https://openalex.org/W6852649217","https://openalex.org/W6852956763"],"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":[1,138],"networks":[2,139],"(DNNs)":[3],"have":[4,58],"received":[5],"a":[6],"lot":[7],"of":[8,11,62,82,96,121,184,221,231],"attention":[9,81,95,105,190,200],"because":[10],"their":[12,66],"impressive":[13],"progress":[14],"in":[15,168],"computer":[16],"vision.":[17],"However,":[18,85],"it":[19],"has":[20],"been":[21,59],"recently":[22],"shown":[23],"that":[24,44,88],"DNNs":[25],"are":[26,38,149],"vulnerable":[27],"to":[28,65,112,115,127,152,217,233,261],"being":[29,51],"spoofed":[30],"by":[31,40,53,77,187,226,243,251],"carefully":[32],"crafted":[33],"adversarial":[34,109,141,194,222],"samples.":[35],"These":[36],"samples":[37,110,142,223],"generated":[39,143],"specific":[41],"attack":[42,154,264],"algorithms":[43],"can":[45],"obfuscate":[46],"the":[47,60,75,80,83,94,108,118,122,128,162,175,185,193,198,208,215,219,234,248],"target":[48,91],"model":[49,199],"without":[50,196],"detected":[52],"humans.":[54],"Recently,":[55],"feature-level":[56,71,147,189,263],"attacks":[57,72,148],"focus":[61],"research":[63],"due":[64,126],"high":[67],"transferability.":[68],"Existing":[69],"state-of-the-art":[70,262],"all":[73],"improve":[74],"transferability":[76,220],"greedily":[78,103],"changing":[79,104,197],"model.":[84,124],"for":[86],"images":[87,114],"contain":[89],"multiple":[90],"class":[92],"objects,":[93],"different":[97],"models":[98],"may":[99,106],"differ":[100],"significantly.":[101],"Thus":[102],"cause":[107],"corresponding":[111],"these":[113,158],"fall":[116],"into":[117],"local":[119],"optimum":[120],"surrogate":[123],"Furthermore,":[125],"great":[129],"structural":[130],"differences":[131],"between":[132],"vision":[133],"transformers":[134],"(ViTs)":[135],"and":[136,255],"convolutional":[137],"(CNNs),":[140],"on":[144,192,224],"CNNs":[145,254],"with":[146],"more":[150],"difficult":[151],"successfully":[153],"ViTs.":[155],"To":[156],"overcome":[157],"drawbacks,":[159],"we":[160,172,206],"perform":[161],"Critical":[163],"Region-oriented":[164],"Feature-level":[165],"Attack":[166],"(CRFA)":[167],"this":[169],"paper.":[170],"Specifically,":[171],"first":[173],"propose":[174,207],"Perturbation":[176],"Attention-aware":[177],"Weighting":[178],"(PAW),":[179],"which":[180,213],"destroys":[181],"critical":[182],"regions":[183],"image":[186],"performing":[188],"weighting":[191],"perturbations":[195],"as":[201,203,259],"much":[202],"possible.":[204],"Then":[205],"Region":[209],"ViT-critical":[210],"Retrieval":[211],"(RVR),":[212],"enables":[214],"generator":[216],"accommodate":[218],"ViTs":[225,232,258],"adding":[227],"extra":[228],"prior":[229],"knowledge":[230],"decoder.":[235],"Extensive":[236],"experiments":[237],"demonstrate":[238],"significant":[239],"performance":[240],"improvements":[241],"achieved":[242],"our":[244],"approach,":[245],"i.e.,":[246],"improving":[247],"fooling":[249],"rate":[250],"19.9%":[252],"against":[253,257],"25.0%":[256],"compared":[260],"method.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}