{"id":"https://openalex.org/W7133347292","doi":"https://doi.org/10.1109/ijcb65343.2025.11411170","title":"Erasing Shadows: Residual-Guided Watermark Removal Via Reverse Diffusion","display_name":"Erasing Shadows: Residual-Guided Watermark Removal Via Reverse Diffusion","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W7133347292","doi":"https://doi.org/10.1109/ijcb65343.2025.11411170"},"language":null,"primary_location":{"id":"doi:10.1109/ijcb65343.2025.11411170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","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/A5128007272","display_name":"Nidhi Soni","orcid":null},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nidhi Soni","raw_affiliation_strings":["Indian Institute of Technology,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127921812","display_name":"Ravi Kumar Saxena","orcid":null},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi Kumar Saxena","raw_affiliation_strings":["Indian Institute of Technology,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["Indian Institute of Technology,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128028786","display_name":"Richa Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["Indian Institute of Technology,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65547834,"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.7426999807357788,"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":0.7426999807357788,"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/T12029","display_name":"DNA and Biological Computing","score":0.01899999938905239,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.015399999916553497,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/watermark","display_name":"Watermark","score":0.9625999927520752},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8205000162124634},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.576200008392334},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5184000134468079},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4927999973297119},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46720001101493835},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45179998874664307},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.42980000376701355}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.9625999927520752},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8205000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659500002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456999778747559},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.576200008392334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5720999836921692},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5184000134468079},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4927999973297119},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46720001101493835},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.38580000400543213},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C207850805","wikidata":"https://www.wikidata.org/wiki/Q269608","display_name":"Reverse engineering","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.25839999318122864},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb65343.2025.11411170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W1986171291","https://openalex.org/W2040903332","https://openalex.org/W2045429831","https://openalex.org/W2056370875","https://openalex.org/W2071667342","https://openalex.org/W2120804545","https://openalex.org/W2120879609","https://openalex.org/W2161927697","https://openalex.org/W2736149641","https://openalex.org/W2906938975","https://openalex.org/W2962770929","https://openalex.org/W2964128659","https://openalex.org/W2991138664","https://openalex.org/W3034469748","https://openalex.org/W3034856584","https://openalex.org/W4224918846","https://openalex.org/W4312933868","https://openalex.org/W4390873191","https://openalex.org/W4415798628","https://openalex.org/W7133208273"],"related_works":[],"abstract_inverted_index":{"Invisible":[0],"watermarking":[1,137],"is":[2,46],"essential":[3],"for":[4,143],"protecting":[5,147],"the":[6,54,68],"authenticity":[7],"and":[8,39,72,87,93,102,108,127,139],"ownership":[9],"of":[10,56,115],"generative":[11,148],"content.":[12,150],"However,":[13],"sophisticated":[14],"removal":[15,81,113],"techniques":[16],"pose":[17],"significant":[18],"threats.":[19],"This":[20],"paper":[21],"introduces":[22],"a":[23,141],"novel":[24],"attack":[25],"framework":[26],"that":[27,47],"exploits":[28],"diffusion":[29,41,66],"model":[30],"dynamics":[31],"through":[32],"uniform":[33],"noise":[34],"injection,":[35],"residual-based":[36],"watermark":[37,74,80,112],"extraction,":[38],"reverse":[40],"reconstruction.":[42],"The":[43],"key":[44],"insight":[45],"watermarks":[48],"manifest":[49],"as":[50],"structured":[51],"artifacts":[52],"within":[53],"residuals":[55,63],"consecutive":[57],"denoising":[58],"steps.":[59],"By":[60],"analyzing":[61],"these":[62],"over":[64],"multiple":[65],"steps,":[67],"proposed":[69],"method":[70],"isolates":[71],"removes":[73],"traces.":[75],"Extensive":[76],"experiments":[77],"demonstrate":[78],"effective":[79],"from":[82],"images":[83,104],"embedded":[84],"using":[85,106],"classical":[86],"state-of-the-art":[88],"algorithms,":[89],"including":[90],"DWT-DCT,":[91],"RivaGAN,":[92],"Stable":[94],"Signature.":[95],"Evaluation":[96],"on":[97],"diverse":[98],"datasets,":[99],"CelebA,":[100],"FFHQ,":[101],"synthetic":[103],"generated":[105],"SDXL":[107],"DALL\u2022E":[109],"3,":[110],"shows":[111],"rates":[114],"up":[116],"to":[117],"99%,":[118],"while":[119],"maintaining":[120],"high":[121],"perceptual":[122],"fidelity,":[123],"validated":[124],"by":[125],"SSIM":[126],"FID":[128],"metrics.":[129],"These":[130],"findings":[131],"highlight":[132],"critical":[133],"vulnerabilities":[134],"in":[135,146],"existing":[136],"strategies":[138],"establish":[140],"benchmark":[142],"assessing":[144],"resilience":[145],"AI":[149]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-04T00:00:00"}