{"id":"https://openalex.org/W3043449705","doi":null,"title":"Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data.","display_name":"Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data.","publication_year":2020,"publication_date":"2020-07-16","ids":{"openalex":"https://openalex.org/W3043449705","mag":"3043449705"},"language":"en","primary_location":{"id":"mag:3043449705","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2007.08473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2007.08473","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007895344","display_name":"Julian Bitterwolf","orcid":"https://orcid.org/0000-0002-0682-3572","observed_orcids":["https://orcid.org/0000-0002-0682-3572"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julian Bitterwolf","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0682-3572","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084032027","display_name":"Alexander Meinke","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Meinke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025830560","display_name":"Matthias Hein","orcid":"https://orcid.org/0000-0002-8751-7760","observed_orcids":["https://orcid.org/0000-0002-8751-7760"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Hein","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8751-7760","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9965999722480774,"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":0.9965999722480774,"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/T10142","display_name":"Formal Methods in Verification","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/out-of-distribution-detection","display_name":"out-of-distribution detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/worst-case-performance-guarantees","display_name":"worst-case guarantees","score":0.7960000038146973},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.8190000057220459},{"id":"https://openalex.org/keywords/overconfidence","display_name":"overconfidence","score":0.8230000138282776},{"id":"https://openalex.org/keywords/adversarial-robustness","display_name":"adversarial robustness","score":0.8199999928474426},{"id":"https://openalex.org/keywords/uncertainty-estimation","display_name":"uncertainty estimation","score":0.578000009059906},{"id":"https://openalex.org/keywords/safety-critical-applications","display_name":"safety-critical applications","score":0.652999997138977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637748658657074},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6210139989852905},{"id":"https://openalex.org/C2909755999","wikidata":"https://www.wikidata.org/wiki/Q4751126","display_name":"Low Confidence","level":2,"score":0.5902861952781677},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.582308292388916},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5741475820541382},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4711433947086334},{"id":"https://openalex.org/C46304622","wikidata":"https://www.wikidata.org/wiki/Q374814","display_name":"Certification","level":2,"score":0.4690675437450409},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4577987492084503},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.45697885751724243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43151354789733887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3282244801521301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3226093649864197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2576034665107727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18655192852020264},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3043449705","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2007.08473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3043449705","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2007.08473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W967544008","https://openalex.org/W1482212161","https://openalex.org/W1932198206","https://openalex.org/W2101234009","https://openalex.org/W2108598243","https://openalex.org/W2194321275","https://openalex.org/W2335728318","https://openalex.org/W2516574342","https://openalex.org/W2531327146","https://openalex.org/W2626967530","https://openalex.org/W2750384547","https://openalex.org/W2766462876","https://openalex.org/W2787708942","https://openalex.org/W2803156329","https://openalex.org/W2803850896","https://openalex.org/W2867167548","https://openalex.org/W2898963688","https://openalex.org/W2904981516","https://openalex.org/W2913266441","https://openalex.org/W2943281030","https://openalex.org/W2949736877","https://openalex.org/W2951940613","https://openalex.org/W2963060032","https://openalex.org/W2963693742","https://openalex.org/W2964121744","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W2972650807","https://openalex.org/W2975438322","https://openalex.org/W3009542902","https://openalex.org/W3118608800"],"related_works":["https://openalex.org/W3098239467","https://openalex.org/W3172596993","https://openalex.org/W4361193769","https://openalex.org/W4390280471","https://openalex.org/W2975438322","https://openalex.org/W6888883080","https://openalex.org/W4377693532","https://openalex.org/W3111327898","https://openalex.org/W3134514250","https://openalex.org/W4398230225"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"are":[3,59,132,157],"known":[4],"to":[5,10,19,44,49,95,137],"be":[6],"overconfident":[7],"when":[8],"applied":[9],"out-of-distribution":[11],"(OOD)":[12],"inputs":[13],"which":[14,141],"clearly":[15],"do":[16],"not":[17,71],"belong":[18],"any":[20],"class.":[21],"This":[22],"is":[23,39],"a":[24,30,37,40,52],"problem":[25],"in":[26,81,101,135,147,162],"safety-critical":[27],"applications":[28],"since":[29],"reliable":[31],"assessment":[32],"of":[33,36],"the":[34,76,98,102,118,125],"uncertainty":[35],"classifier":[38],"key":[41],"property,":[42],"allowing":[43],"trigger":[45],"human":[46],"intervention":[47],"or":[48],"transfer":[50],"into":[51],"safe":[53],"state.":[54],"In":[55],"this":[56,87,106],"paper,":[57],"we":[58,89],"aiming":[60],"for":[61,66,120,152],"certifiable":[62],"worst":[63,153],"case":[64,154],"guarantees":[65,151],"OOD":[67,77,121,126,155],"detection":[68,156],"by":[69],"enforcing":[70],"only":[72],"low":[73],"confidence":[74,100,119],"at":[75,129],"point":[78],"but":[79],"also":[80],"an":[82],"$l_\\infty$-ball":[83,103],"around":[84],"it.":[85],"For":[86],"purpose,":[88],"use":[90],"interval":[91],"bound":[92,97,108],"propagation":[93],"(IBP)":[94],"upper":[96,107],"maximal":[99],"and":[104],"minimize":[105],"during":[109],"training":[110,130],"time.":[111],"We":[112],"show":[113],"that":[114],"non-trivial":[115],"bounds":[116],"on":[117],"data":[122],"generalizing":[123],"beyond":[124],"dataset":[127],"seen":[128],"time":[131],"possible.":[133],"Moreover,":[134],"contrast":[136],"certified":[138,150],"adversarial":[139],"robustness":[140],"typically":[142],"comes":[143],"with":[144],"significant":[145],"loss":[146,161],"prediction":[148],"performance,":[149],"possible":[158],"without":[159],"much":[160],"accuracy.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-07-23T00:00:00"}