{"id":"https://openalex.org/W4408345689","doi":"https://doi.org/10.1109/icassp49660.2025.10890299","title":"ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting","display_name":"ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345689","doi":"https://doi.org/10.1109/icassp49660.2025.10890299"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058094306","display_name":"Yifeng Yang","orcid":"https://orcid.org/0000-0002-8602-2037"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Yang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102633178","display_name":"Hengyu Liu","orcid":"https://orcid.org/0009-0007-7965-1402"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hengyu Liu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008033917","display_name":"Chenxin Li","orcid":"https://orcid.org/0000-0001-7146-2200"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chenxin Li","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101515037","display_name":"Yining Sun","orcid":"https://orcid.org/0000-0001-9851-7611"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yining Sun","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113148213","display_name":"W.S. Li","orcid":"https://orcid.org/0000-0002-3553-5684"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wuyang Li","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376139","display_name":"Yifan Liu","orcid":"https://orcid.org/0000-0001-9342-9428"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yifan Liu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100577769","display_name":"Yiyang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiyang Lin","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073968803","display_name":"Yixuan Yuan","orcid":"https://orcid.org/0000-0002-0853-6948"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yixuan Yuan","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077493772","display_name":"Nanyang Ye","orcid":"https://orcid.org/0000-0003-3129-3953"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanyang Ye","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9937999844551086,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9937999844551086,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9836999773979187,"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/T10828","display_name":"Biometric Identification and Security","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7373149991035461},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43011578917503357},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.39447134733200073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373149991035461},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43011578917503357},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39447134733200073},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2073449274","https://openalex.org/W2218483915","https://openalex.org/W2951159596","https://openalex.org/W2963627347","https://openalex.org/W2999429119","https://openalex.org/W3200902516","https://openalex.org/W4200150166","https://openalex.org/W4283807782","https://openalex.org/W4283813454","https://openalex.org/W4312358159","https://openalex.org/W4312775058","https://openalex.org/W4313022252","https://openalex.org/W4362683575","https://openalex.org/W4385318467","https://openalex.org/W4385493674","https://openalex.org/W4386076539","https://openalex.org/W4387339740","https://openalex.org/W4390692592","https://openalex.org/W4390872249","https://openalex.org/W4390872383","https://openalex.org/W4391046636","https://openalex.org/W4392599999","https://openalex.org/W4399574619","https://openalex.org/W4402430132","https://openalex.org/W4402716358","https://openalex.org/W4402754049","https://openalex.org/W4402916038","https://openalex.org/W4403049490","https://openalex.org/W4403062842","https://openalex.org/W4403062908","https://openalex.org/W4403071004","https://openalex.org/W4403791050","https://openalex.org/W4404719253","https://openalex.org/W4405241245","https://openalex.org/W4409367393","https://openalex.org/W6638523607","https://openalex.org/W6746523225","https://openalex.org/W6779753539","https://openalex.org/W6842555501","https://openalex.org/W6857505406","https://openalex.org/W6858851893","https://openalex.org/W6860055594","https://openalex.org/W6860102175","https://openalex.org/W6861271383","https://openalex.org/W6868831449","https://openalex.org/W6869992753"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"3D":[1,11,34,48,76,86,121,154,174],"Gaussian":[2,89],"Splatting":[3],"(3D-GS)":[4],"emerges":[5],"as":[6],"a":[7,74,93,100,144],"promising":[8],"technique":[9],"for":[10,60,96,147,161],"reconstruction":[12],"and":[13,21,30,52,99,117,165,177],"novel":[14,75],"view":[15],"synthesis,":[16],"offering":[17,143],"superior":[18],"rendering":[19,141],"quality":[20,119],"efficiency,":[22],"it":[23],"becomes":[24],"crucial":[25],"to":[26],"ensure":[27],"secure":[28,166],"transmission":[29,168],"copyright":[31,163],"protection":[32,164],"of":[33,38,88,107,114,120,173],"assets":[35],"in":[36,46,169],"anticipation":[37],"widespread":[39],"distribution.":[40,178],"While":[41],"steganography":[42,59,77],"has":[43],"advanced":[44,162],"significantly":[45],"common":[47],"media":[49],"like":[50],"meshes":[51],"Neural":[53],"Radiance":[54],"Fields":[55],"(NeRF),":[56],"research":[57],"into":[58,83,153],"3D-":[61],"GS":[62],"representations":[63],"remains":[64],"largely":[65],"unexplored.":[66],"To":[67],"address":[68],"this":[69],"gap,":[70],"we":[71],"propose":[72],"ConcealGS,":[73],"method":[78],"that":[79,131],"embeds":[80],"implicit":[81,115,135],"information":[82,116,136,152],"the":[84,97,112,118,159,170],"explicit":[85],"representation":[87],"Splatting.":[90],"By":[91],"introducing":[92],"consistency":[94],"strategy":[95],"decoder":[98],"gradient":[101],"optimization":[102],"approach,":[103],"ConcealGS":[104,132],"overcomes":[105],"limitations":[106],"NeRF-based":[108],"models,":[109],"enhancing":[110],"both":[111],"robustness":[113],"reconstruction.":[122],"Extensive":[123],"evaluations":[124],"across":[125],"various":[126],"potential":[127],"application":[128],"scenarios":[129],"demonstrate":[130],"successfully":[133],"recovers":[134],"with":[137],"negligible":[138],"impact":[139],"on":[140],"quality,":[142],"groundbreaking":[145],"approach":[146],"embedding":[148],"invisible":[149],"yet":[150],"recoverable":[151],"models.":[155],"This":[156],"work":[157],"paves":[158],"way":[160],"data":[167],"evolving":[171],"landscape":[172],"content":[175],"creation":[176],"Code":[179],"is":[180],"available":[181],"at":[182],"https://github.com/zxk1212/ConcealGS.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
