{"id":"https://openalex.org/W4399556631","doi":"https://doi.org/10.1145/3658664.3659652","title":"Did You Note My Palette? Unveiling Synthetic Images Through Color Statistics","display_name":"Did You Note My Palette? Unveiling Synthetic Images Through Color Statistics","publication_year":2024,"publication_date":"2024-06-12","ids":{"openalex":"https://openalex.org/W4399556631","doi":"https://doi.org/10.1145/3658664.3659652"},"language":"en","primary_location":{"id":"doi:10.1145/3658664.3659652","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658664.3659652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-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/A5099097625","display_name":"Lea Uhlenbrock","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lea Uhlenbrock","raw_affiliation_strings":["Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0009-0007-1017-3991","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085769320","display_name":"Davide Cozzolino","orcid":"https://orcid.org/0000-0001-6158-7595"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Cozzolino","raw_affiliation_strings":["Universita degli Studi di Napoli Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6158-7595","affiliations":[{"raw_affiliation_string":"Universita degli Studi di Napoli Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001561457","display_name":"Denise Moussa","orcid":"https://orcid.org/0000-0002-1390-9198"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Denise Moussa","raw_affiliation_strings":["Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1390-9198","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080842029","display_name":"Luisa Verdoliva","orcid":"https://orcid.org/0000-0001-7286-7963"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luisa Verdoliva","raw_affiliation_strings":["Universita degli Studi di Napoli Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7286-7963","affiliations":[{"raw_affiliation_string":"Universita degli Studi di Napoli Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049250339","display_name":"Christian Rie\u00df","orcid":"https://orcid.org/0000-0002-5556-5338"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Riess","raw_affiliation_strings":["Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5556-5338","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5099097625"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":1.4285,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82354736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9807999730110168,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9807999730110168,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9760000109672546,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9746999740600586,"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/palette","display_name":"Palette (painting)","score":0.8833568096160889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5681399703025818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5520018339157104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39873358607292175},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3559924364089966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33772146701812744},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3205757439136505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24875012040138245}],"concepts":[{"id":"https://openalex.org/C2779674283","wikidata":"https://www.wikidata.org/wiki/Q425548","display_name":"Palette (painting)","level":2,"score":0.8833568096160889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5681399703025818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5520018339157104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39873358607292175},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3559924364089966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33772146701812744},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3205757439136505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24875012040138245},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3658664.3659652","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658664.3659652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2009130368","https://openalex.org/W2508457857","https://openalex.org/W2888519208","https://openalex.org/W3036167779","https://openalex.org/W3204217431","https://openalex.org/W4241093797","https://openalex.org/W4249502209","https://openalex.org/W4307701384","https://openalex.org/W4376461282","https://openalex.org/W4390873235","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W2384383935","https://openalex.org/W4234082839","https://openalex.org/W2509410833","https://openalex.org/W3183827559","https://openalex.org/W2004761075","https://openalex.org/W2368237188","https://openalex.org/W2890578708","https://openalex.org/W2167830588","https://openalex.org/W4394087711","https://openalex.org/W2742280844"],"abstract_inverted_index":{"High-quality":[0],"artificially":[1],"generated":[2],"images":[3,51],"are":[4],"widely":[5,61],"available":[6],"now":[7],"and":[8,49,84],"increasingly":[9],"realistic,":[10],"posing":[11],"challenges":[12],"for":[13,39,81],"image":[14],"forensics":[15],"in":[16,53],"distinguishing":[17],"them":[18],"from":[19],"real":[20],"ones.":[21],"Unfortunately,":[22],"building":[23],"a":[24,98],"single":[25],"detector":[26],"that":[27,47],"generalizes":[28],"well":[29],"to":[30,59,69,72],"unseen":[31],"generators":[32],"is":[33,66],"very":[34],"difficult,":[35],"creating":[36],"the":[37,60,85],"need":[38],"diverse":[40],"cues.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"show":[46],"natural":[48],"synthetic":[50],"differ":[52],"their":[54],"color":[55,76,95],"statistics,":[56],"possibly":[57],"due":[58],"used":[62],"perceptual":[63],"loss,":[64],"which":[65],"more":[67],"sensitive":[68],"brightness":[70],"than":[71],"chroma":[73],"differences.":[74],"Consequently,":[75],"statistics":[77],"offer":[78],"valuable":[79],"cues":[80],"forensic":[82],"analysis":[83],"development":[86],"of":[87],"robust":[88],"detectors.":[89],"Our":[90],"experiments":[91],"using":[92],"simple":[93],"hand-crafted":[94],"functions":[96],"with":[97,111],"random":[99],"forest":[100],"achieve":[101],"91%":[102],"accuracy":[103],"averaged":[104],"over":[105],"all":[106],"tested":[107],"Diffusion":[108],"Models,":[109],"even":[110],"limited":[112],"training":[113],"samples.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
