{"id":"https://openalex.org/W1965755265","doi":"https://doi.org/10.1109/icassp.2014.6854090","title":"Transportation-theoretic image counterforensics to First Significant Digit histogram forensics","display_name":"Transportation-theoretic image counterforensics to First Significant Digit histogram forensics","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1965755265","doi":"https://doi.org/10.1109/icassp.2014.6854090","mag":"1965755265"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5087688702","display_name":"Cecilia Pasquini","orcid":"https://orcid.org/0000-0002-2125-6983"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cecilia Pasquini","raw_affiliation_strings":["DISI, University of Trento, Trento, ITALY","DISI -- University of Trento, Trento, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DISI, University of Trento, Trento, ITALY","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI -- University of Trento, Trento, Italy#TAB#","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038872849","display_name":"Pedro Comesa\u00f1a","orcid":"https://orcid.org/0000-0001-5406-0066"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Comesana-Alfaro","raw_affiliation_strings":["EE Telecomunicacion, University of Vigo","EE Telecomun., Univ. of Vigo, Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Telecomunicacion, University of Vigo","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"EE Telecomun., Univ. of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076826398","display_name":"Fernando P\u00e9rez\u2010Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-0568-1373"},"institutions":[{"id":"https://openalex.org/I106437751","display_name":"Centro Tecnol\u00f3xico de Telecomunicaci\u00f3ns de Galicia","ror":"https://ror.org/045ncxc88","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I106437751"]},{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Perez-Gonzalez","raw_affiliation_strings":["EE Telecomunicacion, University of Vigo","GRADIANT (Galician R&D Center in Adv. Telecommun.), Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Telecomunicacion, University of Vigo","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"GRADIANT (Galician R&D Center in Adv. Telecommun.), Vigo, Spain","institution_ids":["https://openalex.org/I106437751"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028899632","display_name":"Giulia Boato","orcid":"https://orcid.org/0000-0002-0260-9528"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Boato","raw_affiliation_strings":["DISI, University of Trento, Trento, ITALY","DISI -- University of Trento, Trento, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DISI, University of Trento, Trento, ITALY","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI -- University of Trento, Trento, Italy#TAB#","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2699","last_page":"2703"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9951000213623047,"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":0.9872000217437744,"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/histogram","display_name":"Histogram","score":0.7709825038909912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651729345321655},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5587542653083801},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4871384799480438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4478347599506378},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4418475031852722},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.4317299723625183},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4206186532974243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3372630178928375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3108520805835724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24264931678771973},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0907382071018219},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08528509736061096},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07448571920394897}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7709825038909912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651729345321655},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5587542653083801},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4871384799480438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4478347599506378},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4418475031852722},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.4317299723625183},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4206186532974243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3372630178928375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3108520805835724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24264931678771973},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0907382071018219},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08528509736061096},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07448571920394897},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6854090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/100506","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/100506","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W161717461","https://openalex.org/W583356579","https://openalex.org/W1515158941","https://openalex.org/W1972263025","https://openalex.org/W2000434686","https://openalex.org/W2003158159","https://openalex.org/W2021505776","https://openalex.org/W2030023819","https://openalex.org/W2070040249","https://openalex.org/W2075691757","https://openalex.org/W2095657345","https://openalex.org/W2096933452","https://openalex.org/W2111280862","https://openalex.org/W2148685281","https://openalex.org/W2159244236","https://openalex.org/W2167008044","https://openalex.org/W2168124633","https://openalex.org/W3148833453","https://openalex.org/W6630942332","https://openalex.org/W6668164699","https://openalex.org/W6676669043"],"related_works":["https://openalex.org/W2794704245","https://openalex.org/W2247097764","https://openalex.org/W1998334300","https://openalex.org/W2110241600","https://openalex.org/W2066185872","https://openalex.org/W2375849557","https://openalex.org/W2109325523","https://openalex.org/W2146297113","https://openalex.org/W2324508068","https://openalex.org/W2141966243"],"abstract_inverted_index":{"First-order":[0],"statistics":[1],"of":[2,21,52,65,87,121],"First":[3],"Significant":[4],"Digits":[5],"(FSD)":[6],"have":[7,41,48],"been":[8,42],"recently":[9],"exploited":[10],"in":[11,50,55,79,99,119],"multimedia":[12,57],"forensics":[13],"as":[14],"a":[15,62,72,80,103],"powerful":[16],"tool":[17],"to":[18,101,112],"reveal":[19],"traces":[20],"previous":[22],"coding":[23],"operations.":[24],"As":[25],"an":[26],"answer,":[27],"adversarial":[28],"approaches":[29],"aimed":[30],"at":[31],"modifying":[32],"the":[33,45,56,66,108,113],"FSD":[34],"histogram":[35,106],"and":[36,107],"fooling":[37],"such":[38],"forensic":[39,83],"methods":[40],"proposed.":[43],"However,":[44],"existing":[46],"techniques":[47],"limitations":[49],"terms":[51,120],"distortion":[53,109],"introduced":[54],"object.":[58],"In":[59],"this":[60],"paper,":[61],"transportation-theoretic":[63],"formulation":[64],"problem":[67],"is":[68,77,117],"presented":[69],"which":[70],"provides":[71],"close-to-optimal":[73],"solution.":[74],"Such":[75],"strategy":[76],"tested":[78],"well-known":[81],"image":[82,116],"scenario,":[84],"where":[85],"FSDs":[86],"8":[88],"\u00d7":[89],"8-DCT":[90],"coefficients":[91],"after":[92],"single":[93],"or":[94],"double":[95],"quantization":[96],"are":[97],"modified":[98],"order":[100],"restore":[102],"certain":[104],"target":[105],"with":[110],"respect":[111],"provided":[114],"compressed":[115],"measured":[118],"MSE.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
