{"id":"https://openalex.org/W4365484895","doi":"https://doi.org/10.1109/tnnls.2023.3264256","title":"Advancing Adversarial Training by Injecting Booster Signal","display_name":"Advancing Adversarial Training by Injecting Booster Signal","publication_year":2023,"publication_date":"2023-04-14","ids":{"openalex":"https://openalex.org/W4365484895","doi":"https://doi.org/10.1109/tnnls.2023.3264256","pmid":"https://pubmed.ncbi.nlm.nih.gov/37058386"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3264256","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tnnls.2023.3264256","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.15451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101684496","display_name":"Hong Joo Lee","orcid":"https://orcid.org/0000-0001-6626-5683"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong Joo Lee","raw_affiliation_strings":["Image and Video Systems Laboratory, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","School of Electrical Engineering, Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-6626-5683","affiliations":[{"raw_affiliation_string":"Image and Video Systems Laboratory, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067319464","display_name":"Youngjoon Yu","orcid":"https://orcid.org/0000-0002-3188-2080"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjoon Yu","raw_affiliation_strings":["Image and Video Systems Laboratory, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","School of Electrical Engineering, Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3188-2080","affiliations":[{"raw_affiliation_string":"Image and Video Systems Laboratory, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["Image and Video Systems Laboratory, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","School of Electrical Engineering, Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5306-6853","affiliations":[{"raw_affiliation_string":"Image and Video Systems Laboratory, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73726184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"35","issue":"9","first_page":"12665","last_page":"12677"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9882000088691711,"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/adversarial-system","display_name":"Adversarial system","score":0.9290046691894531},{"id":"https://openalex.org/keywords/booster","display_name":"Booster (rocketry)","score":0.7721147537231445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7581399083137512},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.728043794631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5372998118400574},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5170689225196838},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44322195649147034},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41272199153900146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3749402165412903},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.36811262369155884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32970166206359863},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11338716745376587}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9290046691894531},{"id":"https://openalex.org/C203165030","wikidata":"https://www.wikidata.org/wiki/Q741745","display_name":"Booster (rocketry)","level":2,"score":0.7721147537231445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7581399083137512},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.728043794631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5372998118400574},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5170689225196838},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44322195649147034},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41272199153900146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3749402165412903},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36811262369155884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32970166206359863},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11338716745376587},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2023.3264256","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tnnls.2023.3264256","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37058386","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37058386","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:arXiv.org:2306.15451","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.15451","pdf_url":"https://arxiv.org/pdf/2306.15451","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.15451","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.15451","pdf_url":"https://arxiv.org/pdf/2306.15451","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2740687315","display_name":null,"funder_award_id":"UD190031RD","funder_id":"https://openalex.org/F4320334874","funder_display_name":"Defense Acquisition Program Administration"}],"funders":[{"id":"https://openalex.org/F4320334874","display_name":"Defense Acquisition Program Administration","ror":"https://ror.org/04bjg9m96"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4365484895.pdf","grobid_xml":"https://content.openalex.org/works/W4365484895.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2551176409","https://openalex.org/W2565639579","https://openalex.org/W2607219512","https://openalex.org/W2612372205","https://openalex.org/W2618043096","https://openalex.org/W2768346313","https://openalex.org/W2791953061","https://openalex.org/W2892009249","https://openalex.org/W2917092108","https://openalex.org/W2946417913","https://openalex.org/W2954978443","https://openalex.org/W2962710014","https://openalex.org/W2963178695","https://openalex.org/W2963184668","https://openalex.org/W2963302614","https://openalex.org/W2963384482","https://openalex.org/W2963857521","https://openalex.org/W2963920068","https://openalex.org/W2964137095","https://openalex.org/W2972743300","https://openalex.org/W2983774054","https://openalex.org/W3015974384","https://openalex.org/W3026118066","https://openalex.org/W3034190247","https://openalex.org/W3035485193","https://openalex.org/W3035590812","https://openalex.org/W3080270960","https://openalex.org/W3093152201","https://openalex.org/W3101233295","https://openalex.org/W3107235539","https://openalex.org/W3118584401","https://openalex.org/W3118608800","https://openalex.org/W3119675348","https://openalex.org/W3134815184","https://openalex.org/W3150450875","https://openalex.org/W3177428785","https://openalex.org/W3191453585","https://openalex.org/W3202281277","https://openalex.org/W3205193540","https://openalex.org/W3211999566","https://openalex.org/W3213474592","https://openalex.org/W4293846201","https://openalex.org/W6640425456","https://openalex.org/W6736207377","https://openalex.org/W6737443998","https://openalex.org/W6739868092","https://openalex.org/W6744679260","https://openalex.org/W6745272055","https://openalex.org/W6746402973","https://openalex.org/W6748475379","https://openalex.org/W6748965907","https://openalex.org/W6759129252","https://openalex.org/W6764409202","https://openalex.org/W6765597837","https://openalex.org/W6771809012","https://openalex.org/W6772461460","https://openalex.org/W6773424267","https://openalex.org/W6774469542","https://openalex.org/W6777387093","https://openalex.org/W6784347383","https://openalex.org/W6784493056","https://openalex.org/W6796750984","https://openalex.org/W6799503532","https://openalex.org/W6803359641"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","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"],"abstract_inverted_index":{"Recent":[0],"works":[1,53],"have":[2,23],"demonstrated":[3,33],"that":[4,45,144],"deep":[5],"neural":[6],"networks":[7],"(DNNs)":[8],"are":[9],"highly":[10],"vulnerable":[11],"to":[12,34,59,76,134,172],"adversarial":[13,18,28,79,122],"attacks.":[14],"To":[15],"defend":[16],"against":[17],"attacks,":[19],"many":[20,52],"defense":[21],"strategies":[22],"been":[24,32,43],"proposed,":[25],"among":[26],"which":[27,110],"training":[29],"(AT)":[30],"has":[31,42],"be":[35,173],"the":[36,61,65,78,90,105,108,115,145,151,157,164],"most":[37],"effective":[38],"strategy.":[39],"However,":[40],"it":[41,119],"known":[44],"AT":[46,160,178],"sometimes":[47],"hurts":[48],"natural":[49,125,152],"accuracy.":[50,126],"Then,":[51,118],"focus":[54],"on":[55,175],"optimizing":[56,163],"model":[57,87,135],"parameters":[58,136],"handle":[60],"problem.":[62],"Different":[63],"from":[64],"previous":[66],"approaches,":[67],"in":[68,132],"this":[69],"article,":[70],"we":[71],"propose":[72],"a":[73,93,99],"new":[74],"approach":[75],"improve":[77,149],"robustness":[80,123],"using":[81],"an":[82],"external":[83,96],"signal":[84,97,101,129,147,166],"rather":[85],"than":[86],"parameters.":[88],"In":[89],"proposed":[91],"method,":[92],"well-optimized":[94],"universal":[95],"called":[98],"booster":[100,128,146,165],"is":[102,130,167],"injected":[103],"into":[104],"outside":[106],"of":[107],"image":[109],"does":[111],"not":[112],"overlap":[113],"with":[114],"original":[116],"content.":[117],"boosts":[120],"both":[121,150],"and":[124,153,169],"The":[127],"optimized":[131],"parallel":[133],"step":[137,139],"by":[138],"collaboratively.":[140],"Experimental":[141],"results":[142],"show":[143],"can":[148],"robust":[154],"accuracies":[155],"over":[156],"recent":[158],"state-of-the-art":[159],"methods.":[161,179],"Also,":[162],"general":[168],"flexible":[170],"enough":[171],"adopted":[174],"any":[176],"existing":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
