{"id":"https://openalex.org/W4226463529","doi":"https://doi.org/10.1109/access.2022.3164666","title":"Search for Image Steganographic Policy With Adversary and Auxiliary Constrained Distance Measure","display_name":"Search for Image Steganographic Policy With Adversary and Auxiliary Constrained Distance Measure","publication_year":2022,"publication_date":"2022-04-04","ids":{"openalex":"https://openalex.org/W4226463529","doi":"https://doi.org/10.1109/access.2022.3164666"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3164666","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3164666","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09749104.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09749104.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101843401","display_name":"Lin Li","orcid":"https://orcid.org/0000-0002-5184-7258"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5184-7258","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101450706","display_name":"Mingyu Fan","orcid":"https://orcid.org/0000-0002-4784-6578"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Fan","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University (XHU), Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4784-6578","affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University (XHU), Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103247609","display_name":"Mingwei Tang","orcid":"https://orcid.org/0000-0002-6727-0000"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Tang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03304764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"15896","last_page":"15908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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":1.0,"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":0.9986000061035156,"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":0.998199999332428,"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":0.8769709467887878},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.6872342824935913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5960263013839722},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5323382616043091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46704572439193726},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.4203495383262634},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39778536558151245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35949987173080444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32260894775390625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29169127345085144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24790900945663452},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2137465476989746}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.8769709467887878},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6872342824935913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5960263013839722},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5323382616043091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46704572439193726},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.4203495383262634},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39778536558151245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35949987173080444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32260894775390625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29169127345085144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24790900945663452},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2137465476989746},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3164666","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3164666","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09749104.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:aa0a156fa6544409ae27e5203a6db7d2","is_oa":true,"landing_page_url":"https://doaj.org/article/aa0a156fa6544409ae27e5203a6db7d2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 15896-15908 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3164666","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3164666","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09749104.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226463529.pdf","grobid_xml":"https://content.openalex.org/works/W4226463529.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1522301498","https://openalex.org/W1662429062","https://openalex.org/W1878907771","https://openalex.org/W1945616565","https://openalex.org/W1955882805","https://openalex.org/W1976570511","https://openalex.org/W2009130368","https://openalex.org/W2012300482","https://openalex.org/W2106663508","https://openalex.org/W2124664712","https://openalex.org/W2133743319","https://openalex.org/W2151346626","https://openalex.org/W2156722235","https://openalex.org/W2158320630","https://openalex.org/W2170598445","https://openalex.org/W2183341477","https://openalex.org/W2192227561","https://openalex.org/W2196548689","https://openalex.org/W2322622188","https://openalex.org/W2538511122","https://openalex.org/W2542290803","https://openalex.org/W2561233344","https://openalex.org/W2621048556","https://openalex.org/W2751202750","https://openalex.org/W2794584741","https://openalex.org/W2809443788","https://openalex.org/W2883233582","https://openalex.org/W2886686142","https://openalex.org/W2892212215","https://openalex.org/W2892948265","https://openalex.org/W2949862294","https://openalex.org/W2962269719","https://openalex.org/W2963542245","https://openalex.org/W2974782078","https://openalex.org/W3037408450","https://openalex.org/W3038356146","https://openalex.org/W3086151814","https://openalex.org/W3088440139","https://openalex.org/W3105479728","https://openalex.org/W3152892549","https://openalex.org/W4206666477","https://openalex.org/W4239092273","https://openalex.org/W4243445159","https://openalex.org/W4288636824","https://openalex.org/W6631190155","https://openalex.org/W6640425456","https://openalex.org/W6696876242","https://openalex.org/W6743223498","https://openalex.org/W6746523225","https://openalex.org/W6758677337","https://openalex.org/W6761123937","https://openalex.org/W6765466724"],"related_works":["https://openalex.org/W2521839693","https://openalex.org/W2969135852","https://openalex.org/W2188948172","https://openalex.org/W38533693","https://openalex.org/W2989873089","https://openalex.org/W2809100332","https://openalex.org/W2299048436","https://openalex.org/W2929936941","https://openalex.org/W2765501876","https://openalex.org/W2187477311"],"abstract_inverted_index":{"Steganography":[0],"is":[1,35,84,98,116,138,149],"to":[2,22,37,51,62,100,117,139],"conceal":[3],"the":[4,23,27,31,43,53,64,70,78,107,119,123,129,141,144,153,160,172,176,183],"presence":[5],"of":[6,25,30,45,72,95,122,143,162,166],"secret":[7],"communication.":[8],"Steganalyser":[9],"based":[10],"on":[11],"rich":[12],"models":[13],"and":[14,47,77,89,189,208,216],"deep":[15,48,218],"learning":[16],"achieves":[17],"state-of-the-art":[18,217],"performance.":[19,103],"However,":[20],"due":[21],"difficulty":[24],"capturing":[26],"unknown":[28],"distribution":[29,121,133],"high-dimensional":[32],"cover,":[33],"it":[34,126],"challenging":[36],"design":[38],"a":[39,60],"steganographic":[40,65,147,174,190,220],"scheme":[41,61,201],"from":[42,67,151],"view":[44],"traditional":[46,215],"learning-based":[49,219],"steganography":[50],"defeat":[52],"steganalyser.":[54,145],"In":[55],"this":[56],"paper,":[57],"we":[58],"propose":[59],"search":[63],"policy":[66,148,191,207],"scratch":[68],"with":[69,159,214],"help":[71],"auxiliary":[73,81,167],"constrained":[74,99,163],"distance":[75,82,96,108,130,168],"measure":[76,83,109,131],"adversary.":[79],"The":[80,92,113,135,146],"provided":[85],"via":[86,194],"similarity":[87],"evaluation":[88,105],"cover":[90,111,114],"estimator.":[91],"response":[93,164],"space":[94,165],"measures":[97],"provide":[101,128],"better":[102],"Similarity":[104],"establishes":[106],"in":[110,132],"space.":[112,134],"estimator":[115],"predict":[118],"potential":[120],"cover.":[124],"Thus":[125],"could":[127,179,202],"adversary":[136,158],"model":[137],"simulate":[140],"role":[142],"searched":[150,173],"playing":[152],"adversarial":[154],"game":[155],"against":[156],"an":[157,204],"relaxation":[161],"measure.":[169],"Ultimately,":[170],"within":[171],"policy,":[175],"stego":[177],"objects":[178],"be":[180],"generated":[181],"by":[182],"STC":[184],"coder.":[185],"Cover":[186],"estimator,":[187],"adversary,":[188],"are":[192],"parameterized":[193],"neural":[195],"networks.":[196],"Experiments":[197],"demonstrate":[198],"that":[199],"our":[200],"achieve":[203],"effective":[205],"modification":[206],"has":[209],"competitive":[210],"security":[211],"performance":[212],"compared":[213],"methods.":[221]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
