{"id":"https://openalex.org/W7155617360","doi":"https://doi.org/10.1145/3787279.3787281","title":"Adversarial Robustness","display_name":"Adversarial Robustness","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7155617360","doi":"https://doi.org/10.1145/3787279.3787281"},"language":null,"primary_location":{"id":"doi:10.1145/3787279.3787281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3787279.3787281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Advances in Artificial Intelligence","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/A5051625926","display_name":"Tameem Adel","orcid":"https://orcid.org/0000-0003-1835-9225"},"institutions":[{"id":"https://openalex.org/I193541982","display_name":"National Nuclear Laboratory","ror":"https://ror.org/051n2dc24","country_code":"GB","type":"facility","lineage":["https://openalex.org/I193541982"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Tameem Adel","raw_affiliation_strings":["Data Science Dept. Department, National Physical Laboratory (NPL), Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-1835-9225","affiliations":[{"raw_affiliation_string":"Data Science Dept. Department, National Physical Laboratory (NPL), Cambridge, United Kingdom","institution_ids":["https://openalex.org/I193541982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051625926"],"corresponding_institution_ids":["https://openalex.org/I193541982"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86625726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.5759000182151794,"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":0.5759000182151794,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.3634999990463257,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.03799999877810478,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8008000254631042},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5608999729156494},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.4505999982357025},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.35190001130104065},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3294999897480011},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.31310001015663147}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8008000254631042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461000084877014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5867999792098999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637000203132629},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5608999729156494},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2759999930858612},{"id":"https://openalex.org/C176248197","wikidata":"https://www.wikidata.org/wiki/Q458526","display_name":"Probably approximately correct learning","level":4,"score":0.27160000801086426},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3787279.3787281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3787279.3787281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Advances in Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8033492565155029,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1522177724","https://openalex.org/W2067562626","https://openalex.org/W2801946817","https://openalex.org/W4205511145","https://openalex.org/W4210736086","https://openalex.org/W4288039037","https://openalex.org/W4295211009","https://openalex.org/W4388732528","https://openalex.org/W4408043312"],"related_works":[],"abstract_inverted_index":{"There":[0],"is":[1,69,84,107],"currently":[2],"a":[3,56,105,117,141,148,154],"massive":[4],"expansion":[5],"of":[6,9,20,55,98,140],"the":[7,26,53,66,79,99,135,138],"impact":[8,119],"automated":[10],"decision-making":[11],"systems":[12,32],"and":[13,33,41],"machine":[14,57,100],"learning":[15,58,101],"algorithms":[16,34],"on":[17,120,153],"every":[18],"aspect":[19],"our":[21],"lives.":[22],"This":[23],"has":[24],"prompted":[25],"need":[27],"to":[28,45,60,108,134,145],"ensure":[29,109],"that":[30,110],"such":[31,104,147],"meet":[35],"new":[36,142],"objectives":[37],"regarding":[38],"explainability,":[39],"fairness":[40],"robustness,":[42],"in":[43,103],"addition":[44,139],"classical":[46],"performance":[47],"based":[48],"objectives.":[49],"Robustness":[50],"here":[51],"means":[52],"ability":[54],"model":[59,102],"maintain":[61],"accurate":[62],"predictions":[63],"even":[64],"when":[65],"input":[67,82],"data":[68,83,112],"slightly":[70],"altered":[71],"or":[72,89],"augmented.":[73],"In":[74],"this":[75],"work,":[76],"we":[77,128],"study":[78],"case":[80,106],"where":[81],"augmented":[85],"by":[86],"potentially":[87],"harmful":[88],"at":[90],"best":[91],"futile":[92],"side":[93],"information.":[94],"The":[95],"ideal":[96],"response":[97],"these":[111],"augmentations":[113],"do":[114],"not":[115],"have":[116],"significant":[118],"its":[121],"performance.":[122],"Given":[123],"an":[124],"existing":[125],"differentiable":[126],"classifier,":[127],"solely":[129],"carry":[130],"out":[131],"slight":[132],"adjustments":[133],"architecture,":[136],"including":[137],"hidden":[143],"layer,":[144],"achieve":[146],"purpose.":[149],"We":[150],"perform":[151],"experiments":[152],"commonly":[155],"used":[156],"dataset.":[157]},"counts_by_year":[],"updated_date":"2026-04-26T06:07:20.044499","created_date":"2026-04-26T00:00:00"}
