{"id":"https://openalex.org/W2978016341","doi":"https://doi.org/10.1109/ijcnn.2019.8852252","title":"Image steganography using texture features and GANs","display_name":"Image steganography using texture features and GANs","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978016341","doi":"https://doi.org/10.1109/ijcnn.2019.8852252","mag":"2978016341"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5103869789","display_name":"Jinjing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjing Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085001934","display_name":"Shaoyin Cheng","orcid":"https://orcid.org/0000-0002-3992-9509"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160629","display_name":"China Information Technology Security Evaluation Center","ror":"https://ror.org/053cexp66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyin Cheng","raw_affiliation_strings":["Information Technology Security Evaluation Center, University of Science and Technology of China, Hefei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Security Evaluation Center, University of Science and Technology of China, Hefei, P. R. China","institution_ids":["https://openalex.org/I4210160629","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067996220","display_name":"Songhao Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhao Lou","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100688754","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0002-1641-5804"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160629","display_name":"China Information Technology Security Evaluation Center","ror":"https://ror.org/053cexp66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["Information Technology Security Evaluation Center, University of Science and Technology of China, Hefei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Security Evaluation Center, University of Science and Technology of China, Hefei, P. R. China","institution_ids":["https://openalex.org/I4210160629","https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/steganography","display_name":"Steganography","score":0.8140135407447815},{"id":"https://openalex.org/keywords/invisibility","display_name":"Invisibility","score":0.7723100185394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746359646320343},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.744362473487854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6229146122932434},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5535826086997986},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5397790670394897},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.506156861782074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4656525254249573},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4614395499229431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4351496398448944},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4289354681968689},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08593964576721191},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06874582171440125}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.8140135407447815},{"id":"https://openalex.org/C50962388","wikidata":"https://www.wikidata.org/wiki/Q762018","display_name":"Invisibility","level":2,"score":0.7723100185394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746359646320343},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.744362473487854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6229146122932434},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5535826086997986},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5397790670394897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.506156861782074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4656525254249573},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4614395499229431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4351496398448944},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4289354681968689},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08593964576721191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06874582171440125},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1955882805","https://openalex.org/W2031489346","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2157558673","https://openalex.org/W2158320630","https://openalex.org/W2170598445","https://openalex.org/W2194775991","https://openalex.org/W2274856082","https://openalex.org/W2320674294","https://openalex.org/W2408826755","https://openalex.org/W2542290803","https://openalex.org/W2577946330","https://openalex.org/W2725509616","https://openalex.org/W2749193951","https://openalex.org/W2752821911","https://openalex.org/W2766690258","https://openalex.org/W2768430110","https://openalex.org/W2771036112","https://openalex.org/W2883233582","https://openalex.org/W2889107560","https://openalex.org/W2900501183","https://openalex.org/W2963001579","https://openalex.org/W2963462425","https://openalex.org/W2964267196","https://openalex.org/W4299644185","https://openalex.org/W4320013936","https://openalex.org/W6682865783","https://openalex.org/W6732248266","https://openalex.org/W6739537786","https://openalex.org/W6740680174","https://openalex.org/W6743223498","https://openalex.org/W6743553542","https://openalex.org/W6746523225","https://openalex.org/W6753386335","https://openalex.org/W6755773381"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2127066923","https://openalex.org/W2057775761","https://openalex.org/W429496918","https://openalex.org/W2387995142"],"abstract_inverted_index":{"As":[0],"steganography":[1],"is":[2,49,66,84],"the":[3,58,61,72,90,98,137,141],"main":[4],"practice":[5],"of":[6,75,94,100,146],"hidden":[7,101],"writing,":[8],"many":[9],"deep":[10],"neural":[11],"networks":[12],"are":[13,25],"proposed":[14,138],"to":[15,39,69,86,110,125],"conceal":[16,40],"secret":[17],"information":[18,88],"into":[19,44,51,89],"images,":[20,77],"whose":[21],"invisibility":[22,99],"and":[23,121,143],"security":[24,142],"unsatisfactory.":[26],"In":[27,103],"this":[28],"paper,":[29],"we":[30,78,105],"present":[31],"an":[32,36,95],"encoder-decoder":[33],"framework":[34],"with":[35,112,129],"adversarial":[37],"discriminator":[38],"messages":[41],"or":[42],"images":[43],"natural":[45],"images.":[46,131,148],"The":[47],"message":[48],"embedded":[50],"QR":[52],"code":[53],"first":[54],"which":[55],"significantly":[56],"improves":[57,140],"fault-tolerance.":[59],"Considering":[60],"mean":[62],"squared":[63],"error":[64],"(MSE)":[65],"not":[67],"conducive":[68],"perfectly":[70],"learn":[71],"invisible":[73],"perturbations":[74],"cover":[76],"introduce":[79],"a":[80,107,122],"texture-based":[81],"loss":[82],"that":[83,136],"helpful":[85],"hide":[87],"complex":[91],"texture":[92],"regions":[93],"image,":[96],"improving":[97],"information.":[102],"addition,":[104],"design":[106],"truncated":[108],"layer":[109,124],"cope":[111],"stego":[113,147],"image":[114],"distortions":[115],"caused":[116],"by":[117],"data":[118],"type":[119],"conversion":[120],"moment":[123],"train":[126],"our":[127,133],"model":[128,139],"varisized":[130],"Finally,":[132],"experiments":[134],"demonstrate":[135],"visual":[144],"quality":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
