{"id":"https://openalex.org/W4214870408","doi":"https://doi.org/10.1109/tifs.2022.3156809","title":"Decision-Based Adversarial Attack With Frequency Mixup","display_name":"Decision-Based Adversarial Attack With Frequency Mixup","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214870408","doi":"https://doi.org/10.1109/tifs.2022.3156809"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2022.3156809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3156809","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/A5073273654","display_name":"Xiu-Chuan Li","orcid":"https://orcid.org/0000-0001-8885-717X"},"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/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":true,"raw_author_name":"Xiu-Chuan Li","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, 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/A5082548671","display_name":"Xu-Yao Zhang","orcid":"https://orcid.org/0000-0001-9260-188X"},"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/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":"Xu-Yao Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, 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/A5039310938","display_name":"Fei Yin","orcid":"https://orcid.org/0000-0002-6412-9140"},"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/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":"Fei Yin","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, 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":"last","author":{"id":"https://openalex.org/A5100714202","display_name":"Cheng\u2010Lin Liu","orcid":"https://orcid.org/0000-0002-6743-4175"},"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/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":"Cheng-Lin Liu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, 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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073273654"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":5.1354,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95884566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"1038","last_page":"1052"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9805999994277954,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.939300000667572,"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/computer-science","display_name":"Computer science","score":0.746978223323822},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6835477948188782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5047057867050171},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4442403018474579},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4261338412761688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3644704520702362},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33152180910110474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12323734164237976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746978223323822},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6835477948188782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5047057867050171},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4442403018474579},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4261338412761688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3644704520702362},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33152180910110474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12323734164237976},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2022.3156809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3156809","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":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1349274172","display_name":null,"funder_award_id":"2018AAA0100400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2362496806","display_name":null,"funder_award_id":"2018QNRC001","funder_id":"https://openalex.org/F4320311778","funder_display_name":"China Association for Science and Technology"},{"id":"https://openalex.org/G5080529549","display_name":null,"funder_award_id":"ZDBS-LY-7004","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6228599885","display_name":null,"funder_award_id":"62076236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6683954330","display_name":null,"funder_award_id":"2019141","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320311778","display_name":"China Association for Science and Technology","ror":"https://ror.org/035vmht26"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2122787031","https://openalex.org/W2167034998","https://openalex.org/W2194775991","https://openalex.org/W2503523779","https://openalex.org/W2530876040","https://openalex.org/W2561975083","https://openalex.org/W2567330569","https://openalex.org/W2603766943","https://openalex.org/W2620038827","https://openalex.org/W2757028014","https://openalex.org/W2774616426","https://openalex.org/W2774644650","https://openalex.org/W2906208681","https://openalex.org/W2962847335","https://openalex.org/W2963163009","https://openalex.org/W2963448658","https://openalex.org/W2963564844","https://openalex.org/W2963857521","https://openalex.org/W2964205597","https://openalex.org/W2969542116","https://openalex.org/W2969695741","https://openalex.org/W2985451033","https://openalex.org/W2994027480","https://openalex.org/W2997583194","https://openalex.org/W2999606423","https://openalex.org/W3015625436","https://openalex.org/W3034175346","https://openalex.org/W3034530016","https://openalex.org/W3034619610","https://openalex.org/W3034892461","https://openalex.org/W3035569111","https://openalex.org/W3037843220","https://openalex.org/W3044714385","https://openalex.org/W3083269515","https://openalex.org/W3091857398","https://openalex.org/W3094250460","https://openalex.org/W3107235539","https://openalex.org/W3114501414","https://openalex.org/W3156158596","https://openalex.org/W3159738076","https://openalex.org/W3169965252","https://openalex.org/W3173859330","https://openalex.org/W3174502228","https://openalex.org/W4214592245","https://openalex.org/W4293846201","https://openalex.org/W4300725094","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6679436768","https://openalex.org/W6739651123","https://openalex.org/W6745136726","https://openalex.org/W6746461954","https://openalex.org/W6746608116","https://openalex.org/W6747819456","https://openalex.org/W6748799766","https://openalex.org/W6750404860","https://openalex.org/W6752760542","https://openalex.org/W6752985256","https://openalex.org/W6753695549","https://openalex.org/W6756444276","https://openalex.org/W6759580348","https://openalex.org/W6761839128","https://openalex.org/W6762707182","https://openalex.org/W6763810570","https://openalex.org/W6767478848","https://openalex.org/W6767666165","https://openalex.org/W6767692553","https://openalex.org/W6771683604","https://openalex.org/W6779685411","https://openalex.org/W6787052717"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2953252165","https://openalex.org/W2563901864","https://openalex.org/W3168009835","https://openalex.org/W1998589401","https://openalex.org/W2964287305","https://openalex.org/W1979518822"],"abstract_inverted_index":{"It":[0],"has":[1],"been":[2],"widely":[3],"observed":[4],"that":[5,62],"deep":[6],"neural":[7],"networks":[8],"are":[9],"highly":[10],"vulnerable":[11],"to":[12,88,117,220],"adversarial":[13,19,120],"examples.":[14],"Decision-based":[15],"attacks":[16,219],"could":[17,38,154,171],"generate":[18],"examples":[20,121],"based":[21,204],"solely":[22],"on":[23,205],"top-1":[24],"labels":[25],"returned":[26],"by":[27],"the":[28,53,90,123,131,145,169,179,229],"target":[29,180],"model.":[30],"However,":[31],"they":[32],"typically":[33],"make":[34,172],"excessive":[35],"queries":[36,162,177],"and":[37,68,163,178],"not":[39,183],"bypass":[40,164],"detection":[41,56,82,165],"effectively.":[42,166],"To":[43,102],"comprehensively":[44],"assess":[45],"a":[46,59,80,114,140,213],"decision-based":[47,100,142,194,218],"attack,":[48],"besides":[49],"its":[50],"query":[51,224],"efficiency,":[52],"performance":[54],"against":[55],"is":[57,182],"also":[58],"concern.":[60],"Considering":[61],"previous":[63],"detections":[64],"consume":[65],"massive":[66],"resources":[67],"always":[69],"mistakenly":[70],"recognize":[71],"benign":[72],"video":[73],"frames":[74],"as":[75,113,130,139,212],"malicious":[76],"attacks,":[77,106],"we":[78,107,134],"design":[79],"lightweight":[81],"called":[83],"<italic":[84,110,127,136,151,187,199,206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,111,128,137,152,188,200,207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">boundary":[86],"detection</i>":[87],"overcome":[89],"above":[91],"limitations,":[92],"whose":[93],"success":[94],"reveals":[95],"serious":[96],"limitations":[97],"of":[98,147,231],"existing":[99,193,217],"attacks.":[101,195],"develop":[103],"more":[104],"powerful":[105],"first":[108],"present":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">f-mixup</i>":[112,129,208],"basic":[115],"method":[116],"produce":[118],"candidate":[119],"in":[122],"frequency":[124],"domain.":[125],"Using":[126],"building":[132],"block,":[133],"propose":[135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">f-attack</i>":[138,153,189],"complete":[141],"attack.":[143],"With":[144],"help":[146],"several":[148],"natural":[149],"images,":[150],"both":[155],"work":[156],"well":[157],"with":[158,185],"limited":[159],"(hundreds":[160],"of)":[161,176],"Nevertheless,":[167],"if":[168],"attacker":[170],"relatively":[173],"adequate":[174],"(thousands":[175],"model":[181],"equipped":[184],"detection,":[186],"will":[190],"lag":[191],"behind":[192],"We":[196],"additionally":[197],"introduce":[198],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">frequency":[201],"binary":[202],"search</i>":[203],",":[209],"which":[210],"serves":[211],"plug-and-play":[214],"module":[215],"for":[216],"further":[221],"improve":[222],"their":[223],"efficiency.":[225],"Experimental":[226],"results":[227],"verify":[228],"effectiveness":[230],"our":[232],"proposed":[233],"methods.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}