{"id":"https://openalex.org/W4410772172","doi":"https://doi.org/10.1145/3727353.3727402","title":"Robust Generative Image Steganography based on Frequency Domain using Fourier Transform","display_name":"Robust Generative Image Steganography based on Frequency Domain using Fourier Transform","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410772172","doi":"https://doi.org/10.1145/3727353.3727402"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727402","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727402","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727402","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727402","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039440884","display_name":"Yujie Jiang","orcid":"https://orcid.org/0009-0003-8643-1548"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Jiang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-8643-1548","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017743261","display_name":"Jing Dong","orcid":"https://orcid.org/0000-0002-2763-7832"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Dong","raw_affiliation_strings":["New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2763-7832","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shutiao Luo","orcid":"https://orcid.org/0009-0002-8355-051X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutiao Luo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-8355-051X","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10015337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"290","last_page":"295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998999834060669,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998999834060669,"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":0.9984999895095825,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9936000108718872,"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":0.6470404267311096},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6181176900863647},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5528888702392578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5162668228149414},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.5127683281898499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41674450039863586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39826497435569763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37074676156044006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25342828035354614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470404267311096},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6181176900863647},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5528888702392578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5162668228149414},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.5127683281898499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41674450039863586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39826497435569763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37074676156044006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25342828035354614},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727402","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727402","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727402","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727402","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727402","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727402","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410772172.pdf","grobid_xml":"https://content.openalex.org/works/W4410772172.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2322622188","https://openalex.org/W2621048556","https://openalex.org/W2860433205","https://openalex.org/W2913808330","https://openalex.org/W2914062350","https://openalex.org/W3013821122","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3162926177","https://openalex.org/W4312416962","https://openalex.org/W4312933868","https://openalex.org/W4366492959","https://openalex.org/W4385815557","https://openalex.org/W4387195417","https://openalex.org/W4387969350"],"related_works":["https://openalex.org/W2521839693","https://openalex.org/W2969135852","https://openalex.org/W2188948172","https://openalex.org/W2153696906","https://openalex.org/W38533693","https://openalex.org/W2892069487","https://openalex.org/W2741842698","https://openalex.org/W1760333999","https://openalex.org/W2265739152","https://openalex.org/W2094307307"],"abstract_inverted_index":{"Generative":[0],"steganography":[1,4,65,73],"is":[2],"a":[3,8,60],"method":[5,66,110],"that":[6,67],"uses":[7],"generator":[9],"to":[10,23,26,43,54],"convert":[11],"secret":[12],"messages":[13],"into":[14],"realistic":[15],"images.":[16],"It":[17],"has":[18],"received":[19],"widespread":[20],"attention":[21],"due":[22],"its":[24],"ability":[25],"resist":[27],"steganalysis.":[28],"However,":[29],"existing":[30],"methods":[31],"suffer":[32],"from":[33],"poor":[34],"quality":[35],"of":[36,95,108,113],"generated":[37],"stego":[38],"images":[39],"and":[40,71,98,118],"the":[41,75,81,88,92,105],"inability":[42],"withstand":[44],"losses":[45],"during":[46],"complex":[47],"social":[48],"media":[49],"transmission":[50],"processes.":[51],"In":[52,83],"response":[53],"these":[55],"issues,":[56],"this":[57],"article":[58],"proposes":[59],"new":[61],"frequency-domain":[62],"diffusion":[63,96],"generative":[64],"can":[68],"achieve":[69],"secure":[70],"robust":[72],"without":[74],"need":[76],"for":[77],"training":[78],"or":[79],"fine-tuning":[80],"network.":[82],"addition,":[84],"we":[85],"also":[86],"studied":[87],"inherent":[89],"errors":[90],"in":[91,111],"bidirectional":[93],"mapping":[94],"models":[97],"proposed":[99],"solutions.":[100],"The":[101],"experimental":[102],"results":[103],"demonstrate":[104],"excellent":[106],"performance":[107],"our":[109],"terms":[112],"extraction":[114],"accuracy,":[115],"robustness,":[116],"security,":[117],"image":[119],"quality.":[120]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
