{"id":"https://openalex.org/W4406858500","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849088","title":"Robust Watermarking via Dual Guidance","display_name":"Robust Watermarking via Dual Guidance","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406858500","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849088"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc63619.2025.10849088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5100321495","display_name":"Yuhang Zhang","orcid":"https://orcid.org/0000-0001-6404-9952"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhang Zhang","raw_affiliation_strings":["Shenzhen University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016956860","display_name":"Yuanman Li","orcid":"https://orcid.org/0000-0003-4526-3018"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanman Li","raw_affiliation_strings":["Shenzhen University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722427","display_name":"Dong Li","orcid":"https://orcid.org/0000-0003-4129-2268"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Dong","raw_affiliation_strings":["Ningbo University,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445591","display_name":"Xia Li","orcid":"https://orcid.org/0000-0002-8043-9966"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["Shenzhen University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100321495"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2728937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9898999929428101,"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":0.9898999929428101,"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":0.9652000069618225,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/digital-watermarking","display_name":"Digital watermarking","score":0.8672285079956055},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6681317090988159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.628166675567627},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4954270124435425},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2938392460346222},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08934837579727173}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8672285079956055},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6681317090988159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.628166675567627},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4954270124435425},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2938392460346222},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08934837579727173},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/apsipaasc63619.2025.10849088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2017589848","https://openalex.org/W2032707239","https://openalex.org/W2113183384","https://openalex.org/W2158518777","https://openalex.org/W2883233582","https://openalex.org/W2899413106","https://openalex.org/W2982163850","https://openalex.org/W2997526307","https://openalex.org/W3034856584","https://openalex.org/W3035671550","https://openalex.org/W4313149882","https://openalex.org/W4321022044","https://openalex.org/W4381198923","https://openalex.org/W4383503849","https://openalex.org/W4387968165","https://openalex.org/W6698378434"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2122982227","https://openalex.org/W2163290991","https://openalex.org/W2361184779","https://openalex.org/W3174961728","https://openalex.org/W2474386553","https://openalex.org/W2125329004","https://openalex.org/W2141752560"],"abstract_inverted_index":{"In":[0,171],"recent":[1],"years,":[2],"digital":[3],"watermarking":[4,28,88,98,153,201],"methods":[5,29,54],"based":[6,140],"on":[7,141],"deep":[8],"learning":[9],"have":[10,30],"been":[11],"extensively":[12],"studied":[13],"due":[14],"to":[15,119,159,181],"their":[16],"crucial":[17],"role":[18],"in":[19],"protecting":[20],"copyright":[21],"information":[22],"and":[23,34,49,82,112,124,149],"forensic":[24],"tracing.":[25],"Existing":[26],"robust":[27,97],"attained":[31],"notable":[32],"imperceptibility":[33,148],"robustness":[35,150],"through":[36],"end-to-end":[37],"training,":[38],"as":[39,41,46],"well":[40],"by":[42],"employing":[43],"techniques":[44],"such":[45],"adversarial":[47],"training":[48],"simulated":[50],"attacks.":[51],"However,":[52],"these":[53],"often":[55],"neglect":[56],"the":[57,62,76,79,84,87,103,116,121,132,142,147,152,165,168,172,183,186,190],"watermark":[58,122,133,169,184],"encoding":[59,123,138],"process":[60,139],"during":[61],"embedding":[63,104,125,161],"stage.":[64],"Typically,":[65],"they":[66],"use":[67],"duplicated":[68],"or":[69],"upsampled":[70],"watermarks":[71],"for":[72],"embedding,":[73],"which":[74],"disregards":[75],"characteristics":[77],"of":[78,86,115,151,167,189],"cover":[80,117,143],"image":[81,118],"limits":[83],"performance":[85],"method.":[89,154],"To":[90],"address":[91],"this":[92],"limitation,":[93],"we":[94,106,175],"propose":[95],"a":[96,177],"via":[99],"dual":[100],"guidance.":[101],"During":[102],"stage,":[105,174],"utilize":[107],"both":[108],"global":[109,128,187],"semantic":[110,129],"features":[111,114,156,188],"local":[113],"guide":[120],"processes.":[126],"The":[127],"feature":[130],"guides":[131],"encoding,":[134],"enabling":[135],"an":[136],"adaptive":[137],"image,":[144],"thereby":[145],"enhancing":[146],"Local":[155],"are":[157],"used":[158],"generate":[160],"masks":[162],"that":[163,196],"adjust":[164],"strength":[166],"embedding.":[170],"extraction":[173],"introduce":[176],"multi-scale":[178],"attention-based":[179],"decoder":[180],"extract":[182],"from":[185],"embedded":[191],"image.":[192],"Experimental":[193],"results":[194],"demonstrate":[195],"our":[197],"method":[198],"outperforms":[199],"existing":[200],"models.":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}