{"id":"https://openalex.org/W4401991089","doi":"https://doi.org/10.1109/tifs.2024.3451689","title":"Generative Imperceptible Attack With Feature Learning Bias Reduction and Multi-Scale Variance Regularization","display_name":"Generative Imperceptible Attack With Feature Learning Bias Reduction and Multi-Scale Variance Regularization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401991089","doi":"https://doi.org/10.1109/tifs.2024.3451689"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2024.3451689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3451689","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/A5102747855","display_name":"Weicheng Xie","orcid":"https://orcid.org/0000-0001-8946-7472"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weicheng Xie","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102635146","display_name":"Zenghao Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenghao Niu","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027713769","display_name":"Qinliang Lin","orcid":"https://orcid.org/0000-0003-1386-8573"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinliang Lin","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053061988","display_name":"Siyang Song","orcid":"https://orcid.org/0000-0003-2339-5685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siyang Song","raw_affiliation_strings":["School of Computer Science, University of Exeter, Exeter, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Exeter, Exeter, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102747855"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66053138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"19","issue":null,"first_page":"7924","last_page":"7938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9362000226974487,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9351000189781189,"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":0.7477784156799316},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6444100141525269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.607011079788208},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5228846073150635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5166218876838684},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.5148548483848572},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4896753132343292},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4772852957248688},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4721624553203583},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4654783606529236},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4639892578125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44172850251197815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18544229865074158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477784156799316},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6444100141525269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.607011079788208},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5228846073150635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5166218876838684},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.5148548483848572},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4896753132343292},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4772852957248688},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4721624553203583},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4654783606529236},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4639892578125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44172850251197815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18544229865074158},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2024.3451689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3451689","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/G1651903107","display_name":null,"funder_award_id":"2023B1212060076","funder_id":"https://openalex.org/F4320314147","funder_display_name":"Guangdong Provincial Key Laboratory of Urology"},{"id":"https://openalex.org/G2537725810","display_name":null,"funder_award_id":"62276170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7041006821","display_name":null,"funder_award_id":"82261138629","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320314147","display_name":"Guangdong Provincial Key Laboratory of Urology","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1991221331","https://openalex.org/W2117539524","https://openalex.org/W2133665775","https://openalex.org/W2155904486","https://openalex.org/W2160535976","https://openalex.org/W2194775991","https://openalex.org/W2503523779","https://openalex.org/W2607219512","https://openalex.org/W2774644650","https://openalex.org/W2947874337","https://openalex.org/W2962847335","https://openalex.org/W2962858109","https://openalex.org/W2962878175","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963448658","https://openalex.org/W2963542245","https://openalex.org/W2963855547","https://openalex.org/W2963857521","https://openalex.org/W2966579212","https://openalex.org/W2969542116","https://openalex.org/W2976752987","https://openalex.org/W2981597369","https://openalex.org/W2999606423","https://openalex.org/W3018634805","https://openalex.org/W3034190247","https://openalex.org/W3034412497","https://openalex.org/W3035567932","https://openalex.org/W3094250460","https://openalex.org/W3127807678","https://openalex.org/W3185321995","https://openalex.org/W3206285027","https://openalex.org/W4214703392","https://openalex.org/W4225928697","https://openalex.org/W4246193833","https://openalex.org/W4285227025","https://openalex.org/W4287328288","https://openalex.org/W4293846201","https://openalex.org/W4300725094","https://openalex.org/W4308233767","https://openalex.org/W4311415873","https://openalex.org/W4312053145","https://openalex.org/W4312648479","https://openalex.org/W4319300645","https://openalex.org/W4372269966","https://openalex.org/W4376456710","https://openalex.org/W4385245566","https://openalex.org/W4386066222","https://openalex.org/W4387968190","https://openalex.org/W4391326512","https://openalex.org/W4392902736","https://openalex.org/W4393154441","https://openalex.org/W4393159397","https://openalex.org/W4394717653","https://openalex.org/W4403003132","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6736207377","https://openalex.org/W6745847742","https://openalex.org/W6762718338","https://openalex.org/W6768366551","https://openalex.org/W6785111086","https://openalex.org/W6790562447","https://openalex.org/W6800217721","https://openalex.org/W6804178330","https://openalex.org/W6809895866","https://openalex.org/W6845892164","https://openalex.org/W6846960784","https://openalex.org/W6853649152","https://openalex.org/W6854533404","https://openalex.org/W6858705044"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W2169816622","https://openalex.org/W3014948380","https://openalex.org/W2298254442","https://openalex.org/W1997242758","https://openalex.org/W2169367269","https://openalex.org/W2951368390","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424"],"abstract_inverted_index":{"Existing":[0],"studies":[1],"have":[2],"shown":[3],"that":[4,72,119],"malicious":[5],"and":[6,15,45,124,174,195,204],"imperceptible":[7],"adversarial":[8],"samples":[9,71],"may":[10,25,60,65,85],"significantly":[11],"weaken":[12],"the":[13,43,49,81,103,121,130,166,191,200,209,216],"reliability":[14],"validity":[16],"of":[17,137,155,169,193,199,211],"deep":[18],"learning":[19,59,132],"systems.":[20],"Since":[21],"gradient-based":[22],"attack":[23,37,100,140,186,201,213,220],"algorithms":[24,64],"result":[26],"in":[27,139,171,197],"higher":[28],"generation":[29],"latency":[30],"or":[31],"demand":[32],"large":[33],"computation":[34],"overhead,":[35],"generative":[36,54,99,219],"methods":[38],"are":[39,47,73],"frequently":[40],"considered.":[41],"However,":[42],"effectiveness":[44,210],"imperceptibility":[46,206],"still":[48],"main":[50,111],"concerns":[51],"for":[52,70,134,145],"these":[53,63],"attacks,":[55],"1)":[56,113],"biased":[57],"feature":[58,68,104],"occur,":[61],"i.e.,":[62],"generate":[66],"undesirable":[67],"perturbations":[69,144,170],"less":[74],"likely":[75],"to":[76,148,153],"be":[77,86,225],"successfully":[78],"attacked;":[79],"2)":[80,158],"produced":[82],"perturbation":[83],"noises":[84],"easily":[87],"perceived":[88],"by":[89,101,142],"human":[90],"eyes.":[91],"To":[92],"this":[93],"end,":[94],"we":[95],"propose":[96],"a":[97,184],"novel":[98],"manipulating":[102],"update.":[105],"The":[106],"proposed":[107],"algorithm":[108],"has":[109],"two":[110],"merits,":[112],"our":[114,159,212],"Bias-reduced":[115],"Feature":[116],"Manipulation":[117],"(BrFM)":[118],"differentiates":[120],"hard-to-attack":[122],"(Hard2Attack)":[123],"easy-to-attack":[125],"(Easy2Attack)":[126],"features,":[127],"can":[128,164],"avoid":[129],"possible":[131],"shortcut":[133],"different":[135],"difficulties":[136],"features":[138,147],"process,":[141],"customizing":[143],"Hard2Attack":[146],"make":[149],"them":[150],"behave":[151],"oppositely":[152],"those":[154],"benign":[156],"features;":[157],"Multi-scale":[160],"Variance":[161],"Regularization":[162],"(MsVR)":[163],"reduce":[165],"unnatural":[167],"transitions":[168],"mask":[172],"edges":[173],"flat":[175],"areas":[176],"with":[177],"low":[178],"contrast,":[179],"while":[180],"simultaneously":[181],"trading":[182],"off":[183],"reasonable":[185],"capacity.":[187],"Extensive":[188],"experiments":[189],"on":[190],"datasets":[192],"Caltech-101":[194],"Imagenette":[196],"terms":[198],"success":[202],"rate":[203],"four":[205],"metrics,":[207],"show":[208],"paradigm":[214],"over":[215],"related":[217],"state-of-the-art":[218],"methods.":[221],"Our":[222],"codes":[223],"will":[224],"made":[226],"publicly":[227],"available.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}