{"id":"https://openalex.org/W3094904360","doi":"https://doi.org/10.1109/access.2020.3034936","title":"Adversarial Learning for Invertible Steganography","display_name":"Adversarial Learning for Invertible Steganography","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3094904360","doi":"https://doi.org/10.1109/access.2020.3034936","mag":"3094904360"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3034936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034936","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09245471.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09245471.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014271344","display_name":"Ching\u2010Chun Chang","orcid":"https://orcid.org/0000-0001-7723-4591"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ching-Chun Chang","raw_affiliation_strings":["University of Warwick, Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014271344"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.2987,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.9555858,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"198425","last_page":"198435"},"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":0.9997000098228455,"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":0.8524737358093262},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7129402160644531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119247913360596},{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.6479504704475403},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6193692088127136},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6108119487762451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6017350554466248},{"id":"https://openalex.org/keywords/steganalysis","display_name":"Steganalysis","score":0.5859068036079407},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5180540084838867},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49448418617248535},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4237414002418518},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.419331431388855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.385315477848053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3787660300731659},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24692383408546448}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.8524737358093262},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7129402160644531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119247913360596},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.6479504704475403},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6193692088127136},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6108119487762451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6017350554466248},{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.5859068036079407},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5180540084838867},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49448418617248535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4237414002418518},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.419331431388855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.385315477848053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3787660300731659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24692383408546448},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3034936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034936","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09245471.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6427efce62014e99baf1f9d06c6b559d","is_oa":true,"landing_page_url":"https://doaj.org/article/6427efce62014e99baf1f9d06c6b559d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 8, Pp 198425-198435 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3034936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034936","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09245471.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.550000011920929},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094904360.pdf","grobid_xml":"https://content.openalex.org/works/W3094904360.grobid-xml"},"referenced_works_count":101,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W150223756","https://openalex.org/W1482218439","https://openalex.org/W1511938396","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1673923490","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1945093115","https://openalex.org/W1945616565","https://openalex.org/W1955882805","https://openalex.org/W1974641035","https://openalex.org/W1976570511","https://openalex.org/W1995875735","https://openalex.org/W1998279455","https://openalex.org/W2000446987","https://openalex.org/W2032158084","https://openalex.org/W2035677848","https://openalex.org/W2046448991","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2105064805","https://openalex.org/W2106069707","https://openalex.org/W2106950225","https://openalex.org/W2107927941","https://openalex.org/W2116467012","https://openalex.org/W2118085659","https://openalex.org/W2121036560","https://openalex.org/W2121393355","https://openalex.org/W2122014146","https://openalex.org/W2134195444","https://openalex.org/W2135459805","https://openalex.org/W2137288380","https://openalex.org/W2144088652","https://openalex.org/W2151092698","https://openalex.org/W2152185406","https://openalex.org/W2154890510","https://openalex.org/W2156387975","https://openalex.org/W2162052795","https://openalex.org/W2165533158","https://openalex.org/W2166820261","https://openalex.org/W2167436768","https://openalex.org/W2169573155","https://openalex.org/W2170269447","https://openalex.org/W2170598445","https://openalex.org/W2192227561","https://openalex.org/W2243397390","https://openalex.org/W2359175208","https://openalex.org/W2403682575","https://openalex.org/W2508016950","https://openalex.org/W2508330072","https://openalex.org/W2508457857","https://openalex.org/W2542290803","https://openalex.org/W2543927648","https://openalex.org/W2593414223","https://openalex.org/W2607041014","https://openalex.org/W2739748921","https://openalex.org/W2749193951","https://openalex.org/W2751202750","https://openalex.org/W2793696846","https://openalex.org/W2794584741","https://openalex.org/W2809443788","https://openalex.org/W2810150785","https://openalex.org/W2860433205","https://openalex.org/W2901437339","https://openalex.org/W2909723044","https://openalex.org/W2930064221","https://openalex.org/W2944781240","https://openalex.org/W2949117887","https://openalex.org/W2949862294","https://openalex.org/W2954996726","https://openalex.org/W2963073614","https://openalex.org/W2963207607","https://openalex.org/W2963470893","https://openalex.org/W2963542245","https://openalex.org/W2963981759","https://openalex.org/W2964013315","https://openalex.org/W2964121744","https://openalex.org/W2964153729","https://openalex.org/W2998553990","https://openalex.org/W3013821122","https://openalex.org/W3105479728","https://openalex.org/W4247934040","https://openalex.org/W4253000688","https://openalex.org/W4320013936","https://openalex.org/W6600894407","https://openalex.org/W6606067566","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637162671","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6640425456","https://openalex.org/W6674330103","https://openalex.org/W6682889407","https://openalex.org/W6684430665","https://openalex.org/W6719080892","https://openalex.org/W6741832134","https://openalex.org/W6743223498"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2930153478","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W3154843532","https://openalex.org/W2068740952","https://openalex.org/W2182496537","https://openalex.org/W2792878404"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2,104],"have":[3,110],"revolutionised":[4],"the":[5,27,45,82,145,149],"research":[6],"landscape":[7],"of":[8,23,29,84,148],"steganography.":[9],"However,":[10],"their":[11,37],"potential":[12],"has":[13],"not":[14],"been":[15,111],"explored":[16],"in":[17,88],"invertible":[18,56],"steganography,":[19],"a":[20,72,120,127,141],"special":[21],"class":[22],"methods":[24],"that":[25,51,109],"permits":[26],"recovery":[28],"distorted":[30],"objects":[31],"due":[32],"to":[33,36,65,80,90,106,113,129],"steganographic":[34,57],"perturbations":[35],"pristine":[38],"condition.":[39],"In":[40],"this":[41,52],"paper,":[42],"we":[43,76,100],"revisit":[44],"regular-singular":[46],"(RS)":[47],"method":[48,58,151],"and":[49,62,123,135],"show":[50],"elegant":[53],"but":[54],"obsolete":[55],"can":[59],"be":[60],"reinvigorated":[61],"brought":[63],"forwards":[64],"modern":[66],"generation":[67],"via":[68],"neuralisation.":[69],"Towards":[70],"developing":[71],"renewed":[73],"RS":[74,150],"method,":[75],"introduce":[77],"adversarial":[78,103],"learning":[79],"capture":[81],"regularity":[83],"natural":[85],"images":[86],"automatically":[87],"contrast":[89],"handcrafted":[91],"discrimination":[92],"functions":[93],"based":[94,152],"on":[95,132,153],"heuristic":[96],"image":[97,122,136],"prior.":[98],"Specifically,":[99],"train":[101],"generative":[102],"(GANs)":[105],"predict":[107],"bit-planes":[108],"used":[112],"carry":[114],"hidden":[115],"information.":[116],"We":[117],"then":[118],"form":[119],"synthetic":[121],"use":[124],"it":[125],"as":[126],"reference":[128],"provide":[130],"guidance":[131],"data":[133],"embedding":[134],"recovery.":[137],"Experimental":[138],"results":[139],"showed":[140],"significant":[142],"improvement":[143],"over":[144],"prior":[146],"implementation":[147],"large-scale":[154],"statistical":[155],"evaluations.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":19}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
