{"id":"https://openalex.org/W3204681655","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534397","title":"Luring Transferable Adversarial Perturbations for Deep Neural Networks","display_name":"Luring Transferable Adversarial Perturbations for Deep Neural Networks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3204681655","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534397","mag":"3204681655"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5031572520","display_name":"R\u00e9mi Bernhard","orcid":"https://orcid.org/0009-0005-9003-278X"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]},{"id":"https://openalex.org/I4210117989","display_name":"Direction de la Recherche Technologique","ror":"https://ror.org/02ggzyd20","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I3019848993","display_name":"Mines Saint-\u00c9tienne","ror":"https://ror.org/05a1dws80","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Remi Bernhard","raw_affiliation_strings":["CEA, Leti, Mines Saint-Etienne, CEA Tech, SAS, Centre CMP,Gardanne,France,F-13541"],"affiliations":[{"raw_affiliation_string":"CEA, Leti, Mines Saint-Etienne, CEA Tech, SAS, Centre CMP,Gardanne,France,F-13541","institution_ids":["https://openalex.org/I3019848993","https://openalex.org/I4210117989","https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013190596","display_name":"Pierre-Alain Mo\u00ebllic","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3019848993","display_name":"Mines Saint-\u00c9tienne","ror":"https://ror.org/05a1dws80","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993"]},{"id":"https://openalex.org/I4210117989","display_name":"Direction de la Recherche Technologique","ror":"https://ror.org/02ggzyd20","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre-Alain Moellic","raw_affiliation_strings":["CEA, Leti, Mines Saint-Etienne, CEA Tech, SAS, Centre CMP,Gardanne,France,F-13541"],"affiliations":[{"raw_affiliation_string":"CEA, Leti, Mines Saint-Etienne, CEA Tech, SAS, Centre CMP,Gardanne,France,F-13541","institution_ids":["https://openalex.org/I3019848993","https://openalex.org/I4210117989","https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070109221","display_name":"Jean-Max Dutertre","orcid":"https://orcid.org/0000-0002-2251-7815"},"institutions":[{"id":"https://openalex.org/I3019848993","display_name":"Mines Saint-\u00c9tienne","ror":"https://ror.org/05a1dws80","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993"]},{"id":"https://openalex.org/I4210117989","display_name":"Direction de la Recherche Technologique","ror":"https://ror.org/02ggzyd20","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Max Dutertre","raw_affiliation_strings":["Mines Saint-Etienne, CEA Tech, SAS, Centre CMP,Gardanne,France"],"affiliations":[{"raw_affiliation_string":"Mines Saint-Etienne, CEA Tech, SAS, Centre CMP,Gardanne,France","institution_ids":["https://openalex.org/I3019848993","https://openalex.org/I4210117989","https://openalex.org/I2738703131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031572520"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I3019848993","https://openalex.org/I4210117989","https://openalex.org/I4210150049"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63782093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.95660001039505,"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":0.9176999926567078,"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":0.7813385725021362},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7699720859527588},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.721013069152832},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6552401781082153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6307788491249084},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6234688758850098},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5795149803161621},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5226918458938599},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5199373960494995},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.4959176480770111},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48809635639190674},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.4512287378311157},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1255309283733368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813385725021362},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7699720859527588},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.721013069152832},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6552401781082153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6307788491249084},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6234688758850098},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5795149803161621},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5226918458938599},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5199373960494995},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.4959176480770111},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48809635639190674},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.4512287378311157},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1255309283733368},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:cea-04176726v1","is_oa":false,"landing_page_url":"https://cea.hal.science/cea-04176726","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9534397","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W2112796928","https://openalex.org/W2335728318","https://openalex.org/W2603766943","https://openalex.org/W2618043096","https://openalex.org/W2765424254","https://openalex.org/W2774644650","https://openalex.org/W2786104118","https://openalex.org/W2799032899","https://openalex.org/W2906186365","https://openalex.org/W2911634294","https://openalex.org/W2912237282","https://openalex.org/W2913266441","https://openalex.org/W2915002466","https://openalex.org/W2946814535","https://openalex.org/W2948854542","https://openalex.org/W2950048339","https://openalex.org/W2950782995","https://openalex.org/W2962729158","https://openalex.org/W2962835968","https://openalex.org/W2962847335","https://openalex.org/W2962972504","https://openalex.org/W2963062382","https://openalex.org/W2963070423","https://openalex.org/W2963143631","https://openalex.org/W2963163009","https://openalex.org/W2963207607","https://openalex.org/W2963570359","https://openalex.org/W2963612069","https://openalex.org/W2963857521","https://openalex.org/W2963894448","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W2969542116","https://openalex.org/W2970115835","https://openalex.org/W2970680991","https://openalex.org/W2971626200","https://openalex.org/W2984241875","https://openalex.org/W3015625436","https://openalex.org/W3037843220","https://openalex.org/W3091857398","https://openalex.org/W3103557498","https://openalex.org/W3118608800","https://openalex.org/W4288359148","https://openalex.org/W4288618201","https://openalex.org/W4289549563","https://openalex.org/W4293846201","https://openalex.org/W4306884024","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6703116779","https://openalex.org/W6739868092","https://openalex.org/W6744511767","https://openalex.org/W6746608116","https://openalex.org/W6747536865","https://openalex.org/W6748475379","https://openalex.org/W6749238303","https://openalex.org/W6750404860","https://openalex.org/W6750707585","https://openalex.org/W6754558403","https://openalex.org/W6758684365","https://openalex.org/W6758930985","https://openalex.org/W6759129252","https://openalex.org/W6759580348","https://openalex.org/W6761839128","https://openalex.org/W6762681652","https://openalex.org/W6762707182","https://openalex.org/W6763221193","https://openalex.org/W6763421666","https://openalex.org/W6769860221","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298","https://openalex.org/W4298079292"],"abstract_inverted_index":{"The":[0],"growing":[1],"interest":[2],"for":[3],"adversarial":[4],"examples,":[5],"i.e.":[6],"maliciously":[7],"modified":[8],"examples":[9],"which":[10,75],"fool":[11,84],"a":[12,42,50,96,124],"classifier,":[13],"has":[14],"resulted":[15],"in":[16,63],"many":[17],"defenses":[18],"intended":[19],"to":[20,45,70,83,95,110,113,134,151,163],"detect":[21],"them,":[22],"render":[23],"them":[24],"inoffensive":[25],"or":[26],"make":[27],"the":[28,39,47,64,72,77,85,89,101,114,117,130,135,160],"model":[29,51,91,119],"more":[30],"robust":[31,138],"against":[32,52],"them.":[33],"In":[34],"this":[35,155],"paper,":[36],"we":[37,158],"pave":[38],"way":[40],"towards":[41],"new":[43],"approach":[44],"improve":[46],"robustness":[48],"of":[49,116,137,168],"black-box":[53],"transfer":[54],"attacks.":[55],"A":[56],"removable":[57],"additional":[58,90],"neural":[59],"network":[60],"is":[61,68,92],"included":[62],"target":[65,86,118],"model,":[66],"and":[67,120,139,143,149,153,170],"designed":[69],"induce":[71],"luring":[73,131,161],"effect,":[74],"tricks":[76],"adversary":[78],"into":[79],"choosing":[80],"false":[81],"directions":[82],"model.":[87],"Training":[88],"achieved":[93],"thanks":[94,133],"loss":[97],"function":[98],"acting":[99],"on":[100,146],"logits":[102],"sequence":[103],"order.":[104],"Our":[105],"deception-based":[106],"method":[107],"only":[108],"needs":[109],"have":[111],"access":[112],"predictions":[115],"does":[121],"not":[122],"require":[123],"labeled":[125],"data":[126],"set.":[127],"We":[128],"explain":[129],"effect":[132,162],"notion":[136],"non-robust":[140],"useful":[141],"features":[142],"perform":[144],"experiments":[145],"MNIST,":[147],"SVHN":[148],"CIFAR10":[150],"characterize":[152],"evaluate":[154],"phenomenon.":[156],"Additionally,":[157],"scale":[159],"ImageNet,":[164],"experiment":[165],"practical":[166],"use":[167],"it":[169],"discuss":[171],"its":[172],"complementarity":[173],"with":[174],"other":[175],"defense":[176],"schemes.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
