{"id":"https://openalex.org/W4311732116","doi":"https://doi.org/10.1109/wifs55849.2022.9975439","title":"Digital twins of physical printing-imaging channel","display_name":"Digital twins of physical printing-imaging channel","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4311732116","doi":"https://doi.org/10.1109/wifs55849.2022.9975439"},"language":"en","primary_location":{"id":"doi:10.1109/wifs55849.2022.9975439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs55849.2022.9975439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5061448965","display_name":"Yury Belousov","orcid":"https://orcid.org/0000-0001-6461-734X"},"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":"Yury Belousov","raw_affiliation_strings":["University of Geneva,Department of Computer Science,Switzerland","Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva,Department of Computer Science,Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"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/A5077470788","display_name":"Brian Pulfer","orcid":"https://orcid.org/0000-0003-0809-6978"},"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":"Brian Pulfer","raw_affiliation_strings":["University of Geneva,Department of Computer Science,Switzerland","Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva,Department of Computer Science,Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"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/A5025858849","display_name":"Roman Chaban","orcid":"https://orcid.org/0000-0002-1916-8802"},"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":"Roman Chaban","raw_affiliation_strings":["University of Geneva,Department of Computer Science,Switzerland","Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva,Department of Computer Science,Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"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/A5028268831","display_name":"Joakim Tutt","orcid":"https://orcid.org/0009-0000-0255-2587"},"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":"Joakim Tutt","raw_affiliation_strings":["University of Geneva,Department of Computer Science,Switzerland","Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva,Department of Computer Science,Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"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/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":"Olga Taran","raw_affiliation_strings":["University of Geneva,Department of Computer Science,Switzerland","Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva,Department of Computer Science,Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"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/A5030544448","display_name":"Taras Holotyak","orcid":"https://orcid.org/0009-0002-2490-0276"},"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":"Taras Holotyak","raw_affiliation_strings":["University of Geneva,Department of Computer Science,Switzerland","Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva,Department of Computer Science,Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"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":"Slava Voloshynovskiy","raw_affiliation_strings":["University of Geneva,Department of Computer Science,Switzerland","Department of Computer Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva,Department of Computer Science,Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"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":6.5829,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97667343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9929999709129333,"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":0.9919000267982483,"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":0.7483930587768555},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7069228291511536},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5743264555931091},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5580602884292603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5537188053131104},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5433732271194458},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49709704518318176},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.43342214822769165},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42969459295272827},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39213040471076965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36045366525650024},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34667089581489563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.341597318649292},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10413211584091187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483930587768555},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7069228291511536},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5743264555931091},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5580602884292603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5537188053131104},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5433732271194458},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49709704518318176},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.43342214822769165},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42969459295272827},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39213040471076965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36045366525650024},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34667089581489563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.341597318649292},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10413211584091187},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs55849.2022.9975439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs55849.2022.9975439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1989077663","https://openalex.org/W2012232311","https://openalex.org/W2083688922","https://openalex.org/W2133665775","https://openalex.org/W2136035751","https://openalex.org/W2194775991","https://openalex.org/W2296635385","https://openalex.org/W2297879328","https://openalex.org/W2502312327","https://openalex.org/W2537458122","https://openalex.org/W2593414223","https://openalex.org/W2739748921","https://openalex.org/W2783092182","https://openalex.org/W2889326414","https://openalex.org/W2950560720","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963709863","https://openalex.org/W2963767194","https://openalex.org/W2963873275","https://openalex.org/W3034625979","https://openalex.org/W3108316907","https://openalex.org/W3202377755","https://openalex.org/W4293568373","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6724804524","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6746090280","https://openalex.org/W6765779288","https://openalex.org/W6779841522","https://openalex.org/W6780248173","https://openalex.org/W6801504612"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,130,143,153,158,175,193],"problem":[6],"of":[7,45,88,99,145,160,162,192],"modeling":[8],"a":[9,14,108],"printing-imaging":[10],"channel":[11],"built":[12],"on":[13,25,35,152],"machine":[15],"learning":[16],"approach":[17],"a.k.a.":[18],"digital":[19,31,100,167],"twin":[20,32],"for":[21,49,183],"anti-counterfeiting":[22],"applications":[23],"based":[24],"copy":[26],"detection":[27],"patterns":[28],"(CDP).":[29],"The":[30,58,187],"is":[33],"formulated":[34],"an":[36,115],"information-theoretic":[37],"framework":[38],"called":[39],"Turbo":[40],"that":[41,104],"uses":[42],"variational":[43],"approximations":[44],"mutual":[46],"information":[47,56],"developed":[48],"both":[50],"encoder":[51],"and":[52,73,90,92,111,135,150,169,189],"decoder":[53],"in":[54,157],"two-directional":[55],"passage.":[57],"proposed":[59,131,176],"model":[60,81],"generalizes":[61],"several":[62,179],"state-of-the-art":[63,180],"architectures":[64],"such":[65],"as":[66],"adversarial":[67,74],"autoencoder":[68],"(AAE)":[69],"[1],":[70],"CycleGAN":[71],"[2]":[72],"latent":[75],"space":[76],"auto-encoder":[77],"(ALAE)":[78],"[3].":[79],"This":[80],"can":[82,121],"be":[83,122],"applied":[84],"to":[85,107,137],"any":[86],"type":[87],"printing":[89,109],"imaging":[91,116],"it":[93],"only":[94],"requires":[95],"training":[96],"data":[97,112,120],"consisting":[98],"templates":[101],"or":[102,125],"artworks":[103],"are":[105,195],"sent":[106],"device":[110],"acquired":[113],"by":[114],"device.":[117],"Moreover,":[118],"these":[119],"paired,":[123],"unpaired":[124],"hybrid":[126],"paired-unpaired":[127],"which":[128],"makes":[129],"architecture":[132],"very":[133],"flexible":[134],"scalable":[136],"many":[138],"practical":[139],"setups.":[140],"We":[141,172],"demonstrate":[142],"impact":[144],"various":[146],"architectural":[147],"factors,":[148],"metrics":[149],"discriminators":[151],"overall":[154],"system":[155,177],"performance":[156],"task":[159],"generation/prediction":[161],"printed":[163],"CDP":[164],"from":[165],"their":[166],"counterparts":[168],"vice":[170],"versa.":[171],"also":[173],"compare":[174],"with":[178],"methods":[181],"used":[182],"image-to-image":[184],"translation":[185],"applications.":[186],"code":[188],"extended":[190],"results":[191],"simulation":[194],"publicly":[196],"available1.":[197]},"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":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
