{"id":"https://openalex.org/W3170568132","doi":"https://doi.org/10.1515/auto-2020-0115","title":"A collection of easily deployable adversarial traffic sign stickers","display_name":"A collection of easily deployable adversarial traffic sign stickers","publication_year":2021,"publication_date":"2021-05-27","ids":{"openalex":"https://openalex.org/W3170568132","doi":"https://doi.org/10.1515/auto-2020-0115","mag":"3170568132"},"language":"en","primary_location":{"id":"doi:10.1515/auto-2020-0115","is_oa":false,"landing_page_url":"https://doi.org/10.1515/auto-2020-0115","pdf_url":null,"source":{"id":"https://openalex.org/S4210170077","display_name":"at - Automatisierungstechnik","issn_l":"0178-2312","issn":["0178-2312","2196-677X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"at - Automatisierungstechnik","raw_type":"journal-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/A5080662986","display_name":"Henrietta Lengyel","orcid":"https://orcid.org/0000-0002-6440-7374"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Henrietta Lengyel","raw_affiliation_strings":["Department of Automotive Technologies at the Faculty of Transportation Engineering and Vehicle Engineering , Budapest University of Technology and Economics , Budapest , Hungary"],"raw_orcid":"https://orcid.org/0000-0002-6440-7374","affiliations":[{"raw_affiliation_string":"Department of Automotive Technologies at the Faculty of Transportation Engineering and Vehicle Engineering , Budapest University of Technology and Economics , Budapest , Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076518947","display_name":"Viktor Remeli","orcid":"https://orcid.org/0000-0002-0044-0386"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Viktor Remeli","raw_affiliation_strings":["Department of Automotive Technologies at the Faculty of Transportation Engineering and Vehicle Engineering , Budapest University of Technology and Economics , Budapest , Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automotive Technologies at the Faculty of Transportation Engineering and Vehicle Engineering , Budapest University of Technology and Economics , Budapest , Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087280793","display_name":"Zsolt Szalay","orcid":"https://orcid.org/0000-0002-6172-5772"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zsolt Szalay","raw_affiliation_strings":["Department of Automotive Technologies at the Faculty of Transportation Engineering and Vehicle Engineering , Budapest University of Technology and Economics , Budapest , Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automotive Technologies at the Faculty of Transportation Engineering and Vehicle Engineering , Budapest University of Technology and Economics , Budapest , Hungary","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080662986"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":0.6824,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74877424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"69","issue":"6","first_page":"511","last_page":"523"},"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/adversarial-system","display_name":"Adversarial system","score":0.7857406139373779},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7651396989822388},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6580693125724792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993360280990601},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5522878766059875},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5230475664138794},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5225933790206909},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5052409768104553},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4448634088039398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3602949380874634},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.11655682325363159}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7857406139373779},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7651396989822388},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6580693125724792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993360280990601},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5522878766059875},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5230475664138794},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5225933790206909},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5052409768104553},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4448634088039398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3602949380874634},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.11655682325363159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1515/auto-2020-0115","is_oa":false,"landing_page_url":"https://doi.org/10.1515/auto-2020-0115","pdf_url":null,"source":{"id":"https://openalex.org/S4210170077","display_name":"at - Automatisierungstechnik","issn_l":"0178-2312","issn":["0178-2312","2196-677X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"at - Automatisierungstechnik","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1510243197","display_name":null,"funder_award_id":"EFOP-3.6.2-16-2017-00002","funder_id":"https://openalex.org/F4320338080","funder_display_name":"European Social Fund"}],"funders":[{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2052571917","https://openalex.org/W2067946584","https://openalex.org/W2093863493","https://openalex.org/W2460937040","https://openalex.org/W2535873859","https://openalex.org/W2543927648","https://openalex.org/W2552767274","https://openalex.org/W2613719029","https://openalex.org/W2736899637","https://openalex.org/W2788820894","https://openalex.org/W2798302089","https://openalex.org/W2899710454","https://openalex.org/W2927685355","https://openalex.org/W2966492279","https://openalex.org/W2970317235","https://openalex.org/W3033657654","https://openalex.org/W3103557498","https://openalex.org/W3105389675","https://openalex.org/W6637162671","https://openalex.org/W6719080892","https://openalex.org/W6729756640","https://openalex.org/W6741036071","https://openalex.org/W6748982675","https://openalex.org/W6761100157","https://openalex.org/W6785841629"],"related_works":["https://openalex.org/W4285366383","https://openalex.org/W3024390022","https://openalex.org/W2903917280","https://openalex.org/W2980092132","https://openalex.org/W3200724328","https://openalex.org/W4229335043","https://openalex.org/W4205705013","https://openalex.org/W3028090072","https://openalex.org/W2949683875","https://openalex.org/W2550200318"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"emergence":[2],"of":[3,21,42,46,56,75],"new":[4,54],"autonomous":[5],"driving":[6],"systems":[7,13,84,158],"and":[8,40,59,72,126,133,139,150,156],"functions":[9],"\u2013":[10,29],"in":[11,34,85,100,123],"particular,":[12],"that":[14,115,154],"base":[15],"their":[16,60,124],"decisions":[17],"on":[18,90],"the":[19,35,38,70,148],"output":[20],"machine":[22],"learning":[23,82],"subsystems":[24],"responsible":[25],"for":[26],"environment":[27],"perception":[28,83],"brings":[30],"a":[31,88,131],"significant":[32],"change":[33],"risks":[36],"to":[37,53,136,161],"safety":[39,138],"security":[41],"transportation.":[43],"These":[44],"kinds":[45],"Advanced":[47],"Driver":[48],"Assistance":[49],"Systems":[50],"are":[51,62,108,159],"vulnerable":[52],"types":[55],"malicious":[57],"attacks,":[58],"properties":[61],"often":[63],"not":[64],"well":[65],"understood.":[66],"This":[67],"paper":[68,143],"demonstrates":[69],"theoretical":[71],"practical":[73],"possibility":[74],"deliberate":[76],"physical":[77],"adversarial":[78],"attacks":[79],"against":[80],"deep":[81],"general,":[86],"with":[87],"focus":[89],"safety-critical":[91],"driver":[92],"assistance":[93],"applications":[94],"such":[95],"as":[96],"traffic":[97,105,137],"sign":[98,106],"classification":[99],"particular.":[101],"Our":[102],"newly":[103],"developed":[104],"stickers":[107],"different":[109],"from":[110],"other":[111],"similar":[112],"methods":[113],"insofar":[114],"they":[116,129],"require":[117],"no":[118],"special":[119],"knowledge":[120],"or":[121],"precision":[122],"creation":[125],"deployment,":[127],"thus":[128],"present":[130],"realistic":[132],"severe":[134],"threat":[135],"security.":[140],"In":[141],"this":[142],"we":[144],"preemptively":[145],"point":[146],"out":[147],"dangers":[149],"easily":[151],"exploitable":[152],"weaknesses":[153],"current":[155],"future":[157],"bound":[160],"face.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
