{"id":"https://openalex.org/W3087861083","doi":"https://doi.org/10.1109/wifs49906.2020.9360903","title":"Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision","display_name":"Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision","publication_year":2020,"publication_date":"2020-12-06","ids":{"openalex":"https://openalex.org/W3087861083","doi":"https://doi.org/10.1109/wifs49906.2020.9360903","mag":"3087861083"},"language":"en","primary_location":{"id":"doi:10.1109/wifs49906.2020.9360903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs49906.2020.9360903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2009.12088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043644234","display_name":"Sara Mandelli","orcid":"https://orcid.org/0000-0003-3811-003X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Mandelli","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046125100","display_name":"Nicol\u00f2 Bonettini","orcid":"https://orcid.org/0000-0002-7500-8512"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicolo Bonettini","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051370303","display_name":"Paolo Bestagini","orcid":"https://orcid.org/0000-0003-0406-0222"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Bestagini","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005378965","display_name":"Stefano Tubaro","orcid":"https://orcid.org/0000-0002-1990-9869"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Tubaro","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica Informazione e Bioingegneria,Milano,Italy,20133","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10544014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9976000189781189,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8194460868835449},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7763135433197021},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.713597297668457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6893965005874634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5919151306152344},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.43362730741500854},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4180121123790741},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.37974828481674194},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37084823846817017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3482080101966858},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31296151876449585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8194460868835449},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7763135433197021},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.713597297668457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6893965005874634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5919151306152344},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.43362730741500854},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4180121123790741},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.37974828481674194},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37084823846817017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3482080101966858},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31296151876449585},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/wifs49906.2020.9360903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs49906.2020.9360903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2009.12088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.12088","pdf_url":"https://arxiv.org/pdf/2009.12088","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,"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:3087861083","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2009.12088v1","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,"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.2009.12088","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2009.12088","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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2009.12088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.12088","pdf_url":"https://arxiv.org/pdf/2009.12088","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,"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":[{"score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W1901129140","https://openalex.org/W1922773808","https://openalex.org/W2050991548","https://openalex.org/W2071018220","https://openalex.org/W2108598243","https://openalex.org/W2118779391","https://openalex.org/W2130225759","https://openalex.org/W2156619667","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2545896937","https://openalex.org/W2561004319","https://openalex.org/W2572787276","https://openalex.org/W2613718673","https://openalex.org/W2739273633","https://openalex.org/W2743750471","https://openalex.org/W2762911267","https://openalex.org/W2787755382","https://openalex.org/W2806156052","https://openalex.org/W2888338418","https://openalex.org/W2889985731","https://openalex.org/W2890052933","https://openalex.org/W2890588722","https://openalex.org/W2907295878","https://openalex.org/W2911424785","https://openalex.org/W2913323966","https://openalex.org/W2913920880","https://openalex.org/W2949103145","https://openalex.org/W2949446228","https://openalex.org/W2955425717","https://openalex.org/W2962793481","https://openalex.org/W2962866211","https://openalex.org/W2970971581","https://openalex.org/W2980373331","https://openalex.org/W3003424563","https://openalex.org/W3010699567","https://openalex.org/W3011265505","https://openalex.org/W3034530968","https://openalex.org/W3034577585","https://openalex.org/W3099319035","https://openalex.org/W3102373040","https://openalex.org/W3158766194","https://openalex.org/W6620707391","https://openalex.org/W6625168331","https://openalex.org/W6639824700","https://openalex.org/W6733049761","https://openalex.org/W6762718338","https://openalex.org/W6766978945","https://openalex.org/W6776059089"],"related_works":["https://openalex.org/W3133672610","https://openalex.org/W2809146085","https://openalex.org/W2567401661","https://openalex.org/W3199879043","https://openalex.org/W3116141523","https://openalex.org/W2607777488","https://openalex.org/W3082587664","https://openalex.org/W3011858434","https://openalex.org/W2970682761","https://openalex.org/W2981114409","https://openalex.org/W3119895277","https://openalex.org/W3035579498","https://openalex.org/W2970098221","https://openalex.org/W2895908598","https://openalex.org/W2909111694","https://openalex.org/W2464977781","https://openalex.org/W3211758781","https://openalex.org/W3018179656","https://openalex.org/W131537950","https://openalex.org/W3117931516"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"have":[4,34],"proved":[5],"very":[6,80],"accurate":[7],"in":[8,19,53,84,175],"multiple":[9],"computer":[10,54,137,197],"vision":[11,138,198],"image":[12,42,56,90,141],"classification":[13,57,142],"tasks":[14],"that":[15,77,129,149,162],"required":[16],"visual":[17,62],"inspection":[18],"the":[20,85,89,127,147,157],"past":[21],"(e.g.,":[22,45,112],"object":[23],"recognition,":[24],"face":[25],"detection,":[26,50],"etc.).":[27,51],"Motivated":[28],"by":[29,66],"these":[30,168,194],"astonishing":[31],"results,":[32],"researchers":[33],"also":[35],"started":[36],"using":[37],"CNNs":[38],"to":[39,99,166,177,192],"cope":[40],"with":[41],"forensic":[43,70,102,119,140,181],"problems":[44],"camera":[46],"model":[47],"identification,":[48],"tampering":[49],"However,":[52],"vision,":[55],"methods":[58],"typically":[59],"rely":[60,72],"on":[61,73,126,132],"cues":[63],"easily":[64],"detectable":[65],"human":[67],"eyes.":[68],"Conversely,":[69],"solutions":[71],"almost":[74,190],"invisible":[75],"traces":[76],"are":[78],"often":[79],"subtle":[81],"and":[82,139,154],"lie":[83],"fine":[86],"details":[87],"of":[88,156],"under":[91],"analysis.":[92],"For":[93],"this":[94,122],"reason,":[95],"training":[96,134,173],"a":[97,101,172,180],"CNN":[98,133],"solve":[100],"task":[103],"requires":[104],"some":[105],"special":[106],"care,":[107],"as":[108],"common":[109],"processing":[110],"operations":[111],"resampling,":[113],"compression,":[114],"etc.)":[115],"can":[116],"strongly":[117],"hinder":[118],"traces.":[120],"In":[121],"work,":[123],"we":[124,145],"focus":[125],"effect":[128],"JPEG":[130,152,158],"has":[131],"considering":[135],"different":[136],"problems.":[143],"Specifically,":[144],"consider":[146,167],"issues":[148],"rise":[150],"from":[151],"compression":[153],"misalignment":[155],"grid.":[159],"We":[160],"show":[161],"it":[163,188],"is":[164,189],"necessary":[165],"effects":[169,195],"when":[170],"generating":[171],"dataset":[174],"order":[176],"properly":[178],"train":[179],"detector":[182],"not":[183],"losing":[184],"generalization":[185],"capability,":[186],"whereas":[187],"possible":[191],"ignore":[193],"for":[196],"tasks.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
