{"id":"https://openalex.org/W7138210555","doi":"https://doi.org/10.1609/aaai.v40i26.39301","title":"On Robustness of Linear Classifiers to Targeted Data Poisoning","display_name":"On Robustness of Linear Classifiers to Targeted Data Poisoning","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138210555","doi":"https://doi.org/10.1609/aaai.v40i26.39301"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i26.39301","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i26.39301","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39301/43262","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39301/43262","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046450478","display_name":"Nakshatra Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nakshatra Gupta","raw_affiliation_strings":["Tata Consultancy Services Limited, India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Limited, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096768201","display_name":"Sumanth Prabhu S","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumanth Prabhu S","raw_affiliation_strings":["Tata Consultancy Services Limited, India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Limited, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089236765","display_name":"Supratik Chakraborty","orcid":"https://orcid.org/0000-0002-7527-7675"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Supratik Chakraborty","raw_affiliation_strings":["Indian Institute of Technology Bombay"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103757578","display_name":"Venkatesh Babu R","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkatesh R","raw_affiliation_strings":["Tata Consultancy Services Limited, India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Limited, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046450478"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42505353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"26","first_page":"21531","last_page":"21539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9922999739646912,"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":0.9922999739646912,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0010999999940395355,"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":0.0008999999845400453,"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/robustness","display_name":"Robustness (evolution)","score":0.862500011920929},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5400999784469604},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5264999866485596},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5006999969482422},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.325300008058548},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.32420000433921814}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.862500011920929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5971999764442444},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5400999784469604},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5264999866485596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5113999843597412},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46309998631477356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42800000309944153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3319999873638153},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i26.39301","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i26.39301","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39301/43262","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i26.39301","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i26.39301","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39301/43262","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7457813024520874,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138210555.pdf","grobid_xml":"https://content.openalex.org/works/W7138210555.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data":[0],"poisoning":[1,17,45,156],"is":[2,46,50,62,105],"a":[3,14,30,54,70,120,155],"training-time":[4],"attack":[5],"that":[6,101,122],"undermines":[7],"the":[8,22,27,35,63,79,82,89,93,103,133,149,158],"trustworthiness":[9],"of":[10,29,39,44,65,81,92,128,132,151],"learned":[11],"models.":[12],"In":[13,96],"targeted":[15,31],"data":[16],"attack,":[18,60],"an":[19,59,74,106],"adversary":[20,75],"manipulates":[21],"training":[23,40,83],"dataset":[24],"to":[25,51,88,171],"alter":[26],"classification":[28],"test":[32,164],"point.":[33],"Given":[34],"typically":[36],"large":[37],"size":[38],"dataset,":[41,84],"manual":[42],"detection":[43],"difficult.":[47],"An":[48],"alternative":[49],"automatically":[52],"measure":[53],"dataset's":[55],"robustness":[56,104,160],"against":[57],"such":[58],"which":[61],"focus":[64],"this":[66,97],"paper.":[67],"We":[68,146,167],"consider":[69],"threat":[71],"model":[72],"wherein":[73],"can":[76],"only":[77],"perturb":[78],"labels":[80],"with":[85],"knowledge":[86],"limited":[87],"hypothesis":[90],"space":[91],"victim's":[94],"model.":[95],"setting,":[98],"we":[99,118],"prove":[100],"finding":[102],"NP-Complete":[107],"problem,":[108],"even":[109],"when":[110],"hypotheses":[111],"are":[112,168],"linear":[113],"classifiers.":[114],"To":[115],"overcome":[116],"this,":[117],"present":[119],"technique":[121,134],"finds":[123],"lower":[124],"and":[125],"upper":[126],"bounds":[127,137,161,174],"robustness.":[129],"Our":[130],"implementation":[131],"computes":[135],"these":[136,173],"efficiently":[138],"in":[139,175],"practice":[140],"for":[141],"many":[142,176],"publicly":[143],"available":[144],"datasets.":[145],"experimentally":[147],"demonstrate":[148],"effectiveness":[150],"our":[152],"approach.":[153],"Specifically,":[154],"exceeding":[157],"identified":[159],"significantly":[162],"impacts":[163],"point":[165],"classification.":[166],"also":[169],"able":[170],"compute":[172],"more":[177],"cases":[178],"where":[179],"state-of-the-art":[180],"techniques":[181],"fail.":[182]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-18T00:00:00"}