{"id":"https://openalex.org/W2605121773","doi":"https://doi.org/10.1117/12.2559429","title":"Steganographic generative adversarial networks","display_name":"Steganographic generative adversarial networks","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W2605121773","doi":"https://doi.org/10.1117/12.2559429","mag":"2605121773"},"language":"en","primary_location":{"id":"doi:10.1117/12.2559429","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.05502","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002738217","display_name":"Denis Volkhonskiy","orcid":"https://orcid.org/0000-0002-9463-7883"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Denis Volkhonskiy","raw_affiliation_strings":["Skolkovo Institute of Science and Technology (Russian Federation)","Skolkovo Institute of Science and Technology  (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Russian Federation)","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology  (Russian Federation)","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086880770","display_name":"Ivan Nazarov","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan Nazarov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology (Russian Federation)","Skolkovo Institute of Science and Technology  (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Russian Federation)","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology  (Russian Federation)","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088950452","display_name":"Evgeny Burnaev","orcid":"https://orcid.org/0000-0001-8424-0690"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny Burnaev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology (Russian Federation)","Skoltech#TAB#"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Russian Federation)","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skoltech#TAB#","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002738217"],"corresponding_institution_ids":["https://openalex.org/I125989756"],"apc_list":null,"apc_paid":null,"fwci":5.6977,"has_fulltext":true,"cited_by_count":94,"citation_normalized_percentile":{"value":0.96943493,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"97"},"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":0.9998999834060669,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/steganalysis","display_name":"Steganalysis","score":0.944211483001709},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.9397560358047485},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.8075116872787476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611584663391113},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6117079854011536},{"id":"https://openalex.org/keywords/steganography-tools","display_name":"Steganography tools","score":0.5900564193725586},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5340076684951782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5251357555389404},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.5144753456115723},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4935711622238159},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.49022871255874634},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.46333351731300354},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37986084818840027},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35935449600219727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3433423936367035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32788917422294617},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3101681172847748},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2831273078918457}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.944211483001709},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.9397560358047485},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.8075116872787476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611584663391113},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6117079854011536},{"id":"https://openalex.org/C13179402","wikidata":"https://www.wikidata.org/wiki/Q7606662","display_name":"Steganography tools","level":4,"score":0.5900564193725586},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5340076684951782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5251357555389404},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.5144753456115723},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4935711622238159},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.49022871255874634},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.46333351731300354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37986084818840027},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35935449600219727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3433423936367035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32788917422294617},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3101681172847748},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2831273078918457},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1117/12.2559429","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1703.05502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.05502","pdf_url":"https://arxiv.org/pdf/1703.05502","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2605121773","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1703.05502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1703.05502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1703.05502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.05502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.05502","pdf_url":"https://arxiv.org/pdf/1703.05502","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2605121773.pdf","grobid_xml":"https://content.openalex.org/works/W2605121773.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1834627138","https://openalex.org/W1955882805","https://openalex.org/W2009130368","https://openalex.org/W2028197392","https://openalex.org/W2031466562","https://openalex.org/W2046180645","https://openalex.org/W2081564928","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2134527668","https://openalex.org/W2170598445","https://openalex.org/W2173520492","https://openalex.org/W2180979975","https://openalex.org/W2542290803","https://openalex.org/W2552465644","https://openalex.org/W2577946330","https://openalex.org/W2621386477","https://openalex.org/W2949117887","https://openalex.org/W2949399848","https://openalex.org/W2949416428","https://openalex.org/W2949999304","https://openalex.org/W2950420147","https://openalex.org/W2951004968","https://openalex.org/W2963800509"],"related_works":["https://openalex.org/W2749193951","https://openalex.org/W2751202750","https://openalex.org/W2099471712","https://openalex.org/W2170598445","https://openalex.org/W2009130368","https://openalex.org/W2964267196","https://openalex.org/W1955882805","https://openalex.org/W2542290803","https://openalex.org/W2173520492","https://openalex.org/W2134527668","https://openalex.org/W2771036112","https://openalex.org/W2322622188","https://openalex.org/W2106661586","https://openalex.org/W2076117055","https://openalex.org/W1972291170","https://openalex.org/W2883233582","https://openalex.org/W2046180645","https://openalex.org/W2621048556","https://openalex.org/W2133665775","https://openalex.org/W1976570511"],"abstract_inverted_index":{"Steganography":[0],"is":[1,17,38],"collection":[2],"of":[3,20,35],"methods":[4],"to":[5,69],"hide":[6],"secret":[7],"information":[8,12],"(\u201cpayload\u201d)":[9],"within":[10],"non-secret":[11],"\u201ccontainer\u201d).":[13],"Its":[14],"counterpart,":[15],"Steganalysis,":[16],"the":[18,46,83,88],"practice":[19],"determining":[21],"if":[22,32],"a":[23,26,42,51],"message":[24,73],"contains":[25],"hidden":[27,36],"payload,":[28],"and":[29,91],"recovering":[30],"it":[31],"possible.":[33],"Presence":[34],"payloads":[37],"typically":[39],"detected":[40],"by":[41],"binary":[43],"classifier.":[44],"In":[45],"present":[47],"study,":[48],"we":[49],"propose":[50],"new":[52,84],"model":[53,85],"for":[54,92],"generating":[55],"image-like":[56],"containers":[57],"based":[58],"on":[59],"Deep":[60],"Convolutional":[61],"Generative":[62],"Adversarial":[63],"Networks":[64],"(DCGAN).":[65],"This":[66],"approach":[67],"allows":[68],"generate":[70],"more":[71],"setganalysis-secure":[72],"embedding":[74],"using":[75],"standard":[76],"steganography":[77,89],"algorithms.":[78],"Experiment":[79],"results":[80],"demonstrate":[81],"that":[82],"successfully":[86],"deceives":[87],"analyzer,":[90],"this":[93],"reason,":[94],"can":[95],"be":[96],"used":[97],"in":[98],"steganographic":[99],"applications.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
