{"id":"https://openalex.org/W4401842280","doi":"https://doi.org/10.1007/s11263-024-02206-4","title":"AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation","display_name":"AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401842280","doi":"https://doi.org/10.1007/s11263-024-02206-4"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-024-02206-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02206-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02206-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02206-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015193544","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-6369-2663"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lin Li","raw_affiliation_strings":["Department of Informatics, King\u2019s College London, Aldwych, London, WC2B 4BG, UK","Department of Informatics, King's College London, Aldwych, London, WC2B 4BG, UK"],"raw_orcid":"https://orcid.org/0000-0001-6369-2663","affiliations":[{"raw_affiliation_string":"Department of Informatics, King\u2019s College London, Aldwych, London, WC2B 4BG, UK","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Informatics, King's College London, Aldwych, London, WC2B 4BG, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071693446","display_name":"Jianing Qiu","orcid":"https://orcid.org/0000-0003-4166-3428"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianing Qiu","raw_affiliation_strings":["Department of Computing, Imperial College London, London, SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069783230","display_name":"Michael Spratling","orcid":"https://orcid.org/0000-0001-9531-2813"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["GB","LU"],"is_corresponding":false,"raw_author_name":"Michael Spratling","raw_affiliation_strings":["Department of Behavioural and Cognitive Sciences, University of Luxembourg, 4366, Esch-Belval, Luxembourg","Department of Informatics, King\u2019s College London, Aldwych, London, WC2B 4BG, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Behavioural and Cognitive Sciences, University of Luxembourg, 4366, Esch-Belval, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Department of Informatics, King\u2019s College London, Aldwych, London, WC2B 4BG, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015193544"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":{"value":4090,"currency":"USD","value_usd":4090},"apc_paid":{"value":4090,"currency":"USD","value_usd":4090},"fwci":2.3328,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89596535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"133","issue":"2","first_page":"929","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9599999785423279,"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"}},{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9448000192642212,"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/overfitting","display_name":"Overfitting","score":0.8470040559768677},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8363528251647949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7964514493942261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6611109972000122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400217413902283},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6352745890617371},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5034376978874207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39639919996261597},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39596325159072876}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8470040559768677},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8363528251647949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964514493942261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6611109972000122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400217413902283},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6352745890617371},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5034376978874207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39639919996261597},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39596325159072876},{"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11263-024-02206-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02206-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02206-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/61914","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/61914","pdf_url":"https://orbilu.uni.lu/bitstream/10993/61914/1/2306.07197v2.pdf","source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Vision (2024)","raw_type":"http://purl.org/coar/resource_type/c_6501"}],"best_oa_location":{"id":"doi:10.1007/s11263-024-02206-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02206-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02206-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401842280.pdf","grobid_xml":"https://content.openalex.org/works/W4401842280.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2640329709","https://openalex.org/W2768346313","https://openalex.org/W2787708942","https://openalex.org/W2905631704","https://openalex.org/W2913266441","https://openalex.org/W2946822591","https://openalex.org/W2947099774","https://openalex.org/W2949736877","https://openalex.org/W2963026800","https://openalex.org/W2963857521","https://openalex.org/W2964137095","https://openalex.org/W2992308087","https://openalex.org/W2996344901","https://openalex.org/W2996564870","https://openalex.org/W2998508940","https://openalex.org/W3009184501","https://openalex.org/W3009542902","https://openalex.org/W3035682985","https://openalex.org/W3047916742","https://openalex.org/W3092873005","https://openalex.org/W3093235747","https://openalex.org/W3094502228","https://openalex.org/W3097975205","https://openalex.org/W3118608800","https://openalex.org/W3124432598","https://openalex.org/W3130325649","https://openalex.org/W3135151133","https://openalex.org/W3135353648","https://openalex.org/W3164563754","https://openalex.org/W3202897123","https://openalex.org/W3209206078","https://openalex.org/W4214490831","https://openalex.org/W4221161114","https://openalex.org/W4221161708","https://openalex.org/W4226239489","https://openalex.org/W4230563027","https://openalex.org/W4285602371","https://openalex.org/W4306705447","https://openalex.org/W4307306392","https://openalex.org/W4307539041","https://openalex.org/W4311086205","https://openalex.org/W4312443924","https://openalex.org/W4319075655","https://openalex.org/W4320342782","https://openalex.org/W4323323110","https://openalex.org/W4361192825","https://openalex.org/W4366330698","https://openalex.org/W4386025709","https://openalex.org/W4386973901","https://openalex.org/W4387839006","https://openalex.org/W6600281463","https://openalex.org/W6637162671","https://openalex.org/W6762334975","https://openalex.org/W6770979763","https://openalex.org/W6772167297","https://openalex.org/W6774681163","https://openalex.org/W6797686037","https://openalex.org/W6804000844","https://openalex.org/W6998305694"],"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":{"Abstract":[0],"Deep":[1],"neural":[2],"networks":[3],"are":[4,219],"vulnerable":[5],"to":[6,23,35,55,62,93,99,130,138,147,172,190,211],"adversarial":[7,17,141],"examples.":[8,18],"Adversarial":[9],"training":[10,165],"(AT)":[11],"is":[12,21,69,89,170],"an":[13],"effective":[14,37,96,157],"defense":[15],"against":[16],"However,":[19],"AT":[20,189,194,209],"prone":[22],"overfitting":[24,41],"which":[25],"degrades":[26],"robustness":[27],"substantially.":[28],"Recently,":[29],"data":[30],"augmentation":[31],"(DA)":[32],"was":[33],"shown":[34,92,171],"be":[36,94,100,204],"in":[38],"mitigating":[39],"robust":[40,64],"if":[42],"appropriately":[43],"designed":[44],"and":[45,87,91,97,124,160,182,199,216],"optimized":[46],"for":[47,66,76,102,140,154],"AT.":[48,67,107],"This":[49,68,143],"work":[50],"proposes":[51],"a":[52,150,155],"new":[53],"method":[54,74,110,146,169],"automatically":[56],"learn":[57],"online,":[58],"instance-wise,":[59],"DA":[60,73,104,135,158,176,185],"policies":[61],"improve":[63],"generalization":[65],"the":[70,113,119,125,162],"first":[71],"automated":[72,134],"specific":[75],"robustness.":[77,142,200,214],"A":[78],"novel":[79],"policy":[80,116,159,163,186],"learning":[81],"objective,":[82],"consisting":[83],"of":[84,115,122,128],"Vulnerability,":[85],"Affinity":[86],"Diversity,":[88],"proposed":[90],"sufficiently":[95],"efficient":[98],"practical":[101,137],"automatic":[103],"generation":[105],"during":[106],"Importantly,":[108],"our":[109,145,168],"dramatically":[111],"reduces":[112],"cost":[114],"search":[117,152],"from":[118],"5000":[120],"h":[121,127],"AutoAugment":[123],"412":[126],"IDBH":[129],"9":[131],"h,":[132],"making":[133],"more":[136,156],"use":[139],"allows":[144],"efficiently":[148],"explore":[149],"large":[151],"space":[153],"evolve":[161],"as":[164],"progresses.":[166],"Empirically,":[167],"outperform":[173],"all":[174],"competitive":[175],"methods":[177,195,210],"across":[178],"various":[179],"model":[180],"architectures":[181],"datasets.":[183],"Our":[184],"reinforced":[187],"vanilla":[188],"surpass":[191],"several":[192],"state-of-the-art":[193],"regarding":[196],"both":[197],"accuracy":[198],"It":[201],"can":[202],"also":[203],"combined":[205],"with":[206],"those":[207],"advanced":[208],"further":[212],"boost":[213],"Code":[215],"pre-trained":[217],"models":[218],"available":[220],"at:":[221],"https://github.com/TreeLLi/AROID":[222],".":[223]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}