{"id":"https://openalex.org/W4388491638","doi":"https://doi.org/10.1145/3632293","title":"Efficient History-Driven Adversarial Perturbation Distribution Learning in Low Frequency Domain","display_name":"Efficient History-Driven Adversarial Perturbation Distribution Learning in Low Frequency Domain","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388491638","doi":"https://doi.org/10.1145/3632293"},"language":"en","primary_location":{"id":"doi:10.1145/3632293","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632293","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632293","source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3632293","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101961477","display_name":"Han Cao","orcid":"https://orcid.org/0000-0003-3985-0267"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Cao","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082944496","display_name":"Qindong Sun","orcid":"https://orcid.org/0000-0003-2019-7886"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qindong Sun","raw_affiliation_strings":["School of Cyber Science and Engineering, Xi\u2019an Jiaotong University; Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","School of Cyber Science and Engineering, Xi'an Jiaotong University"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Xi\u2019an Jiaotong University; Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","institution_ids":["https://openalex.org/I4210131919","https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Cyber Science and Engineering, Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693160","display_name":"Yaqi Li","orcid":"https://orcid.org/0000-0003-4431-5103"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqi Li","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106396879","display_name":"Rong Geng","orcid":"https://orcid.org/0000-0002-6707-9513"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Geng","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106396871","display_name":"Xiaoxiong Wang","orcid":"https://orcid.org/0000-0001-7386-8589"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiong Wang","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101961477"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.5158,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72497395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"27","issue":"1","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"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":0.9995999932289124,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.6958077549934387},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6742968559265137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5825246572494507},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.47942060232162476},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.43323737382888794},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4115380644798279},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4103524088859558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39688900113105774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3847523033618927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32554298639297485},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.1383202075958252},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.13083481788635254}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.6958077549934387},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6742968559265137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5825246572494507},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.47942060232162476},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.43323737382888794},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4115380644798279},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4103524088859558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39688900113105774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3847523033618927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32554298639297485},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.1383202075958252},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.13083481788635254},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632293","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632293","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632293","source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3632293","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632293","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632293","source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5189907394","display_name":null,"funder_award_id":"62272378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645104507","display_name":null,"funder_award_id":"2023NSFSC0502","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388491638.pdf","grobid_xml":"https://content.openalex.org/works/W4388491638.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1567473651","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2603766943","https://openalex.org/W2745565856","https://openalex.org/W2746600820","https://openalex.org/W2774644650","https://openalex.org/W2797395613","https://openalex.org/W2895097814","https://openalex.org/W2962711307","https://openalex.org/W2962847335","https://openalex.org/W2963857521","https://openalex.org/W2969542116","https://openalex.org/W2972986629","https://openalex.org/W2977099891","https://openalex.org/W2993234371","https://openalex.org/W3015625436","https://openalex.org/W3022742351","https://openalex.org/W3035172095","https://openalex.org/W3054790275","https://openalex.org/W3085562034","https://openalex.org/W3105976275","https://openalex.org/W3106412272","https://openalex.org/W3128781534","https://openalex.org/W3171288285","https://openalex.org/W3172942063","https://openalex.org/W3204362682","https://openalex.org/W3209559250","https://openalex.org/W4220887819","https://openalex.org/W4224950673","https://openalex.org/W4285227025","https://openalex.org/W4312245536"],"related_works":["https://openalex.org/W2926551842","https://openalex.org/W3119219900","https://openalex.org/W2843020461","https://openalex.org/W2572601863","https://openalex.org/W3112846993","https://openalex.org/W4211082860","https://openalex.org/W2056742037","https://openalex.org/W4309794518","https://openalex.org/W2587300415","https://openalex.org/W1910942334"],"abstract_inverted_index":{"The":[0,139],"existence":[1],"of":[2,12,28,34,60,70,100,112,133,173,195,220],"adversarial":[3,21,61,203],"image":[4,35],"makes":[5],"us":[6],"have":[7],"to":[8,23,56,77,93,129,135,197,214,226],"doubt":[9],"the":[10,32,58,68,79,89,97,109,131,144,182,186,193,198,216],"credibility":[11],"artificial":[13],"intelligence":[14],"system.":[15],"Attackers":[16],"can":[17,148,190],"use":[18],"carefully":[19],"processed":[20],"images":[22],"carry":[24],"out":[25],"a":[26,41,83,136,150,227],"variety":[27],"attacks.":[29],"Inspired":[30],"by":[31],"theory":[33],"compressed":[36],"sensing,":[37],"this":[38,116],"paper":[39],"proposes":[40],"new":[42],"black-box":[43],"attack,":[44],"\\(\\mathcal":[45,146],"{N}\\text{-HSA}_{LF}\\)":[46,147],".":[47],"It":[48],"uses":[49],"covariance":[50,80,98],"matrix":[51,81,99],"adaptive":[52],"evolution":[53,132],"strategy":[54,219],"(CMA-ES)":[55],"learn":[57],"distribution":[59,103,134],"perturbation":[62],"in":[63,105],"low":[64],"frequency":[65],"domain,":[66],"reducing":[67,108],"dimensionality":[69],"solution":[71],"space.":[72],"And":[73,114],"sep-CMA-ES":[74],"is":[75,212],"used":[76],"set":[78],"as":[82],"diagonal":[84],"matrix,":[85],"which":[86],"further":[87],"reduces":[88],"dimensions":[90],"that":[91,143,185],"need":[92],"be":[94],"updated":[95],"for":[96,205],"multivariate":[101],"Gaussian":[102],"learned":[104],"attacks,":[106],"thereby":[107],"computational":[110],"cost":[111],"attack.":[113],"on":[115,158],"basis,":[117],"we":[118],"propose":[119],"history-driven":[120],"mean":[121],"update":[122],"and":[123,162,169,181,222],"current":[124],"optimal":[125],"solution-guided":[126],"improvement":[127],"strategies":[128,189],"avoid":[130],"worse":[137],"direction.":[138],"experimental":[140],"results":[141,183],"show":[142,184],"proposed":[145,187],"achieve":[149],"higher":[151],"attack":[152,211],"success":[153],"rate":[154],"with":[155],"fewer":[156],"queries":[157],"attacking":[159],"both":[160],"CNN-based":[161],"transformer-based":[163],"target":[164,199],"models":[165],"under":[166],"\\(L_2\\)":[167],"-norm":[168,171],"\\(L_\\infty\\)":[170],"constraints":[172],"perturbation.":[174],"We":[175],"also":[176],"conduct":[177],"an":[178],"ablation":[179],"study":[180],"improved":[188],"effectively":[191],"reduce":[192],"number":[194],"visits":[196],"model":[200],"when":[201],"making":[202],"examples":[204],"hard":[206],"examples.":[207],"In":[208],"addition,":[209],"our":[210],"able":[213],"make":[215],"integrated":[217],"defense":[218],"GRIP-GAN":[221],"noise-embedded":[223],"training":[224],"ineffective":[225],"certain":[228],"extent.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}