{"id":"https://openalex.org/W4283393394","doi":"https://doi.org/10.1145/3531536.3532963","title":"Domain Adaptational Text Steganalysis Based on Transductive Learning","display_name":"Domain Adaptational Text Steganalysis Based on Transductive Learning","publication_year":2022,"publication_date":"2022-06-23","ids":{"openalex":"https://openalex.org/W4283393394","doi":"https://doi.org/10.1145/3531536.3532963"},"language":"en","primary_location":{"id":"doi:10.1145/3531536.3532963","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531536.3532963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 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/A5012766424","display_name":"Yiming Xue","orcid":"https://orcid.org/0000-0001-6500-3868"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Xue","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070925731","display_name":"Boya Yang","orcid":"https://orcid.org/0000-0002-1989-3107"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boya Yang","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065765400","display_name":"Yaqian Deng","orcid":"https://orcid.org/0000-0001-9309-7881"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Deng","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084672117","display_name":"Wanli Peng","orcid":"https://orcid.org/0000-0001-9636-6928"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Peng","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011638218","display_name":"Juan Wen","orcid":"https://orcid.org/0000-0002-4199-2988"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wen","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9291,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87227295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9943000078201294,"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/steganalysis","display_name":"Steganalysis","score":0.9352058172225952},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.780278205871582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7513786554336548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6593154072761536},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5916165709495544},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5199857354164124},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4753910303115845},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4640125036239624},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4533032178878784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4405421316623688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43949031829833984},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.43409156799316406},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4307776987552643},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.4286019206047058},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34586265683174133},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.3107632100582123},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1995653212070465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17719125747680664},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10420629382133484}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9352058172225952},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.780278205871582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513786554336548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6593154072761536},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5916165709495544},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5199857354164124},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4753910303115845},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4640125036239624},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4533032178878784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4405421316623688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43949031829833984},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.43409156799316406},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4307776987552643},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.4286019206047058},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34586265683174133},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.3107632100582123},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1995653212070465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17719125747680664},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10420629382133484},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3531536.3532963","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531536.3532963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G853193226","display_name":null,"funder_award_id":"No. 61802410, No. 61872368","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2809287426","https://openalex.org/W2893556909","https://openalex.org/W2904209271","https://openalex.org/W2911759304","https://openalex.org/W2990143630","https://openalex.org/W2998172865","https://openalex.org/W3037454483","https://openalex.org/W3096786072","https://openalex.org/W3187420508","https://openalex.org/W4320892949","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2792878404","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W3154843532"],"abstract_inverted_index":{"Traditional":[0],"text":[1,36,86,115],"steganalysis":[2,87,126],"methods":[3],"rely":[4],"on":[5,73],"a":[6,32,84,94],"large":[7,33],"amount":[8],"of":[9,35,59,76,131],"labeled":[10],"data.":[11,28],"At":[12],"the":[13,16,26,43,47,51,57,65,74,109,113,122,129],"same":[14],"time,":[15],"test":[17,52],"data":[18],"should":[19],"be":[20],"independent":[21],"and":[22,50,62,79,98],"identically":[23],"distributed":[24,95],"with":[25],"training":[27,48],"However,":[29],"in":[30,128],"practice,":[31],"number":[34],"types":[37],"make":[38],"it":[39],"difficult":[40],"to":[41,56,82,103],"satisfy":[42],"i.i.d":[44],"condition":[45],"between":[46],"set":[49],"set,":[53],"which":[54],"leads":[55],"problem":[58],"domain":[60,77,105,132],"mismatch":[61],"significantly":[63],"reduces":[64],"detection":[66],"performance.":[67],"In":[68,89],"this":[69,90],"paper,":[70],"we":[71,92],"draw":[72],"ideas":[75],"adaptation":[78,96],"transductive":[80],"learning":[81],"design":[83,93],"novel":[85],"method.":[88],"method,":[91],"layer":[97],"adopt":[99],"three":[100],"loss":[101],"functions":[102],"achieve":[104],"adaptation,":[106],"so":[107],"that":[108,121],"model":[110],"can":[111],"learn":[112],"domain-invariant":[114],"features.":[116],"The":[117],"experimental":[118],"results":[119],"show":[120],"method":[123],"has":[124],"better":[125],"performance":[127],"case":[130],"mismatch.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}