{"id":"https://openalex.org/W4408954780","doi":"https://doi.org/10.23919/icact63878.2025.10936792","title":"AI-Generated Image Detection Using Semantic Feature","display_name":"AI-Generated Image Detection Using Semantic Feature","publication_year":2025,"publication_date":"2025-02-16","ids":{"openalex":"https://openalex.org/W4408954780","doi":"https://doi.org/10.23919/icact63878.2025.10936792"},"language":"en","primary_location":{"id":"doi:10.23919/icact63878.2025.10936792","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact63878.2025.10936792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 27th International Conference on Advanced Communications Technology (ICACT)","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/A5111104293","display_name":"Hau-Ching Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hau-Ching Chen","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu-Pin Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Pin Shen","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108311630","display_name":"Yi-Hung Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Hung Yeh","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111273356","display_name":"Jiann-Liang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiann-Liang Chen","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"459","last_page":"463"},"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":0.9958000183105469,"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":0.9958000183105469,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9891999959945679,"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":0.9869999885559082,"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":0.7384300231933594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6237158179283142},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5888893604278564},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5414363145828247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.498370885848999},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4806622266769409},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44252967834472656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4216964840888977},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41277262568473816},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38655516505241394},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27741968631744385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384300231933594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6237158179283142},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5888893604278564},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5414363145828247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.498370885848999},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4806622266769409},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44252967834472656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4216964840888977},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41277262568473816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38655516505241394},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27741968631744385},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.23919/icact63878.2025.10936792","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact63878.2025.10936792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 27th International Conference on Advanced Communications Technology (ICACT)","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":25,"referenced_works":["https://openalex.org/W2952716587","https://openalex.org/W2975558816","https://openalex.org/W3012472557","https://openalex.org/W3034577585","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3108281670","https://openalex.org/W3162926177","https://openalex.org/W4226125322","https://openalex.org/W4294643831","https://openalex.org/W4312388283","https://openalex.org/W4312933868","https://openalex.org/W4313331847","https://openalex.org/W4320199890","https://openalex.org/W4386071953","https://openalex.org/W4389820666","https://openalex.org/W6745560452","https://openalex.org/W6755312952","https://openalex.org/W6775642233","https://openalex.org/W6779823529","https://openalex.org/W6791353385","https://openalex.org/W6795288823","https://openalex.org/W6810940779","https://openalex.org/W6849452169","https://openalex.org/W6859785927"],"related_works":["https://openalex.org/W2364155688","https://openalex.org/W2046522763","https://openalex.org/W2366916257","https://openalex.org/W2375847997","https://openalex.org/W2072836406","https://openalex.org/W824274296","https://openalex.org/W2391772185","https://openalex.org/W2475750579","https://openalex.org/W2061641547","https://openalex.org/W2355099127"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,14,20,49,60,64,86,91,131,138],"rapid":[4],"advancement":[5],"of":[6,16,22,51,63,78,93,133,140],"deep":[7],"learning":[8],"has":[9,33],"brought":[10],"generative":[11,141],"models":[12,98,117],"to":[13,89],"forefront":[15],"technological":[17],"innovation,":[18],"enabling":[19],"creation":[21],"highly":[23],"realistic":[24],"images":[25],"from":[26,41],"simple":[27],"text":[28],"inputs.":[29],"However,":[30],"this":[31],"progress":[32],"also":[34],"introduced":[35],"new":[36],"challenges":[37],"in":[38,48,136],"distinguishing":[39],"real":[40],"synthetic":[42],"content,":[43],"a":[44,82,150],"concern":[45],"particularly":[46],"evident":[47],"misuse":[50],"such":[52],"technologies":[53],"for":[54,70],"malicious":[55],"purposes.":[56],"This":[57,128],"paper":[58],"investigates":[59],"generalization":[61,110],"capabilities":[62],"CLIP":[65,94,106,134],"Vision":[66],"Transformer":[67],"(ViT)":[68],"model":[69,142],"fake":[71],"image":[72],"detection,":[73],"leveraging":[74],"its":[75],"semantic":[76,122,147],"understanding":[77],"images.":[79],"We":[80],"employ":[81],"cross-validation":[83],"approach":[84],"using":[85],"GenImage":[87],"dataset":[88],"evaluate":[90],"performance":[92],"ViT":[95,107,135],"against":[96],"traditional":[97],"like":[99],"ResNet-50":[100],"and":[101,156],"Swin-T.":[102],"Results":[103],"demonstrate":[104],"that":[105],"exhibits":[108],"superior":[109],"ability":[111],"on":[112,120],"unseen":[113],"datasets,":[114],"outperforming":[115],"other":[116],"by":[118,144],"focusing":[119],"high-level":[121],"features":[123],"rather":[124],"than":[125],"dataset-specific":[126],"patterns.":[127],"study":[129],"highlights":[130],"potential":[132],"advancing":[137],"detection":[139,158],"outputs":[143],"capturing":[145],"underlying":[146],"relationships,":[148],"suggesting":[149],"paradigm":[151],"shift":[152],"towards":[153],"more":[154],"robust":[155],"generalized":[157],"techniques.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}