{"id":"https://openalex.org/W2921294931","doi":"https://doi.org/10.1109/icassp.2019.8682967","title":"Clonability of Anti-counterfeiting Printable Graphical Codes: A Machine Learning Approach","display_name":"Clonability of Anti-counterfeiting Printable Graphical Codes: A Machine Learning Approach","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2921294931","doi":"https://doi.org/10.1109/icassp.2019.8682967","mag":"2921294931"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008678783","display_name":"Olga Taran","orcid":"https://orcid.org/0000-0001-8537-5204"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"O. Taran","raw_affiliation_strings":["Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078890724","display_name":"Slavi Bonev","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"S. Bonev","raw_affiliation_strings":["Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091506990","display_name":"Slava Voloshynovskiy","orcid":"https://orcid.org/0000-0003-0416-9674"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"S. Voloshynovskiy","raw_affiliation_strings":["Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":null,"apc_paid":null,"fwci":2.5885,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89493767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"313","issue":null,"first_page":"2482","last_page":"2486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9959999918937683,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9955999851226807,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7421648502349854},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5303162932395935},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4237898588180542},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.41162168979644775},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4102737307548523},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32674792408943176},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3256675601005554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2979588508605957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421648502349854},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5303162932395935},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4237898588180542},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.41162168979644775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4102737307548523},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32674792408943176},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3256675601005554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2979588508605957},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2012232311","https://openalex.org/W2065406036","https://openalex.org/W2083688922","https://openalex.org/W2099471712","https://openalex.org/W2100495367","https://openalex.org/W2296029916","https://openalex.org/W2297879328","https://openalex.org/W2533731123","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2109986081","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4297589944","https://openalex.org/W2417308975","https://openalex.org/W3180766726","https://openalex.org/W2273151813","https://openalex.org/W2037309121","https://openalex.org/W2109325056"],"abstract_inverted_index":{"In":[0,51],"recent":[1],"years,":[2],"printable":[3,36,61,118],"graphical":[4,62,119],"codes":[5,37,63,90,102,120],"have":[6],"attracted":[7],"a":[8,13,65,75,96,112],"lot":[9],"of":[10,23,35,40,60,79],"attention":[11],"enabling":[12],"link":[14],"between":[15],"the":[16,27,58],"physical":[17],"and":[18,29],"digital":[19,101],"worlds,":[20],"which":[21],"is":[22,48,72],"great":[24],"interest":[25],"for":[26],"IoT":[28],"brand":[30],"protection":[31],"applications.":[32],"The":[33,69,85],"security":[34],"in":[38,107],"terms":[39],"their":[41,104],"reproducibility":[42],"by":[43,92],"unauthorized":[44],"parties":[45],"or":[46],"clonability":[47,59],"largely":[49],"unexplored.":[50],"this":[52],"paper,":[53],"we":[54],"try":[55],"to":[56,98],"investigate":[57],"from":[64,103],"machine":[66],"learning":[67],"perspective.":[68],"proposed":[70],"framework":[71],"based":[73],"on":[74,88,115],"simple":[76],"system":[77],"composed":[78],"fully":[80],"connected":[81],"neural":[82],"network":[83],"layers.":[84],"results":[86],"obtained":[87],"real":[89],"printed":[91,105],"several":[93],"printers":[94],"demonstrate":[95],"possibility":[97],"accurately":[99,123],"estimate":[100],"counterparts":[106],"certain":[108],"cases.":[109],"This":[110],"provides":[111],"new":[113],"insight":[114],"scenarios,":[116],"where":[117],"can":[121],"be":[122],"cloned.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
