{"id":"https://openalex.org/W2963809642","doi":"https://doi.org/10.1109/cvpr.2018.00893","title":"Art of Singular Vectors and Universal Adversarial Perturbations","display_name":"Art of Singular Vectors and Universal Adversarial Perturbations","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2963809642","doi":"https://doi.org/10.1109/cvpr.2018.00893","mag":"2963809642"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2018.00893","doi":"https://doi.org/10.1109/cvpr.2018.00893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2018.00893","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1709.03582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004111307","display_name":"Ivan Valer'evich Oseledets","orcid":"https://orcid.org/0000-0003-2071-2163","observed_orcids":["https://orcid.org/0000-0003-2071-2163"]},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan Oseledets","raw_affiliation_strings":["Skolkovo Institute of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040956144","display_name":"Valentin Khrulkov","orcid":"https://orcid.org/0009-0000-6694-5398","observed_orcids":["https://orcid.org/0009-0000-6694-5398"]},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]},{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]},{"id":"https://openalex.org/I4210086928","display_name":"Institute of Numerical Mathematics","ror":"https://ror.org/00520ey40","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210086928","https://openalex.org/I4210124601"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Valentin Khrulkov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Institute of Numerical Mathematics RAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Institute of Numerical Mathematics RAS","institution_ids":["https://openalex.org/I125989756","https://openalex.org/I1313323035","https://openalex.org/I4210086928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9725,"has_fulltext":true,"cited_by_count":126,"citation_normalized_percentile":{"value":0.96454994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"8562","last_page":"8570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.0,"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/universal-adversarial-perturbations","display_name":"universal adversarial perturbations","score":0.9829999804496765},{"id":"https://openalex.org/keywords/adversarial-attacks","display_name":"adversarial attacks","score":0.7990000247955322},{"id":"https://openalex.org/keywords/deep-neural-network-vulnerabilities","display_name":"deep neural network vulnerabilities","score":0.7310000061988831},{"id":"https://openalex.org/keywords/singular-vectors","display_name":"singular vectors","score":0.7950000166893005},{"id":"https://openalex.org/keywords/jacobian-matrix","display_name":"Jacobian matrix","score":0.8399999737739563},{"id":"https://openalex.org/keywords/fooling-rate","display_name":"fooling rate","score":0.8209999799728394},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.8140000104904175},{"id":"https://openalex.org/keywords/adversarial-robustness","display_name":"adversarial robustness","score":0.6779999732971191}],"concepts":[{"id":"https://openalex.org/C200331156","wikidata":"https://www.wikidata.org/wiki/Q506041","display_name":"Jacobian matrix and determinant","level":2,"score":0.882426381111145},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.7382080554962158},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7217516303062439},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.576563835144043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.539713442325592},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45709577202796936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4273194670677185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3991456627845764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37221992015838623},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.3614473044872284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3440288305282593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3371138274669647},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3001137971878052},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10369879007339478},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr.2018.00893","doi":"https://doi.org/10.1109/cvpr.2018.00893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2018.00893","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1709.03582","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.03582","pdf_url":"https://arxiv.org/pdf/1709.03582","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":null,"raw_type":"text"},{"id":"mag:2754808688","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1709.03582.pdf","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},{"id":"doi:10.48550/arxiv.1709.03582","doi":"https://doi.org/10.48550/arxiv.1709.03582","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1709.03582","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1709.03582","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.03582","pdf_url":"https://arxiv.org/pdf/1709.03582","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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6349798659","display_name":null,"funder_award_id":"14.756.31.0001","funder_id":"https://openalex.org/F4320321912","funder_display_name":"Ministry of Education and Science of the Russian Federation"},{"id":"https://openalex.org/G939958733","display_name":null,"funder_award_id":"16-31-60095","funder_id":"https://openalex.org/F4320321079","funder_display_name":"Russian Foundation for Basic Research"}],"funders":[{"id":"https://openalex.org/F4320321079","display_name":"Russian Foundation for Basic Research","ror":"https://ror.org/02mh1ke95"},{"id":"https://openalex.org/F4320321912","display_name":"Ministry of Education and Science of the Russian Federation","ror":"https://ror.org/00ghqgy32"},{"id":"https://openalex.org/F4320324442","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963809642.pdf","grobid_xml":"https://content.openalex.org/works/W2963809642.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W1576347883","https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W2006903949","https://openalex.org/W2067239526","https://openalex.org/W2097117768","https://openalex.org/W2116261113","https://openalex.org/W2117539524","https://openalex.org/W2143612262","https://openalex.org/W2171928131","https://openalex.org/W2174868984","https://openalex.org/W2194775991","https://openalex.org/W2432142698","https://openalex.org/W2460937040","https://openalex.org/W2505206507","https://openalex.org/W2528914598","https://openalex.org/W2543927648","https://openalex.org/W2570685808","https://openalex.org/W2810611310","https://openalex.org/W2949650786","https://openalex.org/W2950179405","https://openalex.org/W2953047670","https://openalex.org/W2963207607","https://openalex.org/W2964153729","https://openalex.org/W4229494842","https://openalex.org/W4320800818"],"related_works":["https://openalex.org/W4409697042","https://openalex.org/W2990438113","https://openalex.org/W2543927648","https://openalex.org/W3088526839","https://openalex.org/W3209714396","https://openalex.org/W2243397390","https://openalex.org/W4282838029","https://openalex.org/W3090800462","https://openalex.org/W3023898055","https://openalex.org/W6964146275"],"abstract_inverted_index":{"Vulnerability":[0],"of":[1,14,27,44,80,84,87,120,133,141],"Deep":[2],"Neural":[3],"Networks":[4],"(DNNs)":[5],"to":[6,46,53,105],"adversarial":[7,37],"attacks":[8],"has":[9,20],"been":[10,21],"attracting":[11],"a":[12,61,88,126],"lot":[13],"attention":[15],"in":[16],"recent":[17],"studies.":[18],"It":[19],"shown":[22],"that":[23,148],"for":[24,64],"many":[25],"state":[26],"the":[28,75,81,117,129,134,138,142,149],"art":[29],"DNNs":[30],"performing":[31],"image":[32],"classification":[33],"there":[34],"exist":[35],"universal":[36,67,107],"perturbations":[38,41,91,108,151],"-":[39],"image-agnostic":[40],"mere":[42],"addition":[43],"which":[45],"natural":[47],"images":[48,101],"with":[49,109],"high":[50],"probability":[51],"leads":[52],"their":[54],"misclassification.":[55],"In":[56],"this":[57],"work":[58],"we":[59,102],"propose":[60],"new":[62],"algorithm":[63],"constructing":[65],"such":[66],"perturbations.":[68],"Our":[69],"approach":[70],"is":[71],"based":[72],"on":[73,116],"computing":[74],"so-called":[76],"(p,":[77],"q)-singular":[78],"vectors":[79],"Jacobian":[82,135],"matrices":[83],"hidden":[85],"layers":[86],"network.":[89],"Resulting":[90],"present":[92],"interesting":[93],"visual":[94],"patterns,":[95],"and":[96,137,146],"by":[97],"using":[98],"only":[99],"64":[100],"were":[103],"able":[104],"construct":[106],"more":[110],"than":[111],"60":[112],"%":[113],"fooling":[114,139],"rate":[115,140],"dataset":[118],"consisting":[119],"50000":[121],"images.":[122],"We":[123],"also":[124],"investigate":[125],"correlation":[127],"between":[128],"maximal":[130],"singular":[131,144],"value":[132],"matrix":[136],"corresponding":[143],"vector,":[145],"show":[147],"constructed":[150],"generalize":[152],"across":[153],"networks.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2019-07-30T00:00:00"}
