{"id":"https://openalex.org/W7133330776","doi":"https://doi.org/10.48550/arxiv.2603.00194","title":"SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models","display_name":"SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7133330776","doi":"https://doi.org/10.48550/arxiv.2603.00194"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00194","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00194","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.00194","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128022487","display_name":"Yang Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101286105","display_name":"Xinze Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Xinze","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036060690","display_name":"Zehua Ma","orcid":"https://orcid.org/0000-0002-8153-341X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zehua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127951935","display_name":"Han Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Han","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128014930","display_name":"Weiming Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Weiming","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5128022487"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9412999749183655,"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":0.9412999749183655,"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":0.020500000566244125,"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":0.011099999770522118,"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/watermark","display_name":"Watermark","score":0.9514999985694885},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8913999795913696},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7350000143051147},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5300999879837036},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.484499990940094},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.47589999437332153},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4659000039100647},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.4546999931335449}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.9514999985694885},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8913999795913696},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7350000143051147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811000108718872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5579000115394592},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5300999879837036},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.484499990940094},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.47589999437332153},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4659000039100647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4607999920845032},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.4546999931335449},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.350600004196167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29760000109672546},{"id":"https://openalex.org/C128040838","wikidata":"https://www.wikidata.org/wiki/Q1810628","display_name":"Pseudorandom binary sequence","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C2780581891","wikidata":"https://www.wikidata.org/wiki/Q15738686","display_name":"Copy protection","level":4,"score":0.2777999937534332},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00194","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00194","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.00194","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00194","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"rise":[1],"of":[2,132],"text-to-video":[3,127],"generation":[4,207],"models":[5],"has":[6],"raised":[7],"growing":[8],"concerns":[9],"over":[10],"content":[11],"authenticity,":[12],"copyright":[13],"protection,":[14],"and":[15,32,51,84,103,150,176,178,187,209],"malicious":[16],"misuse.":[17],"Watermarking":[18],"serves":[19],"as":[20,107],"an":[21],"effective":[22],"mechanism":[23],"for":[24,90,126,147],"regulating":[25],"such":[26,106],"AI-generated":[27],"content,":[28],"where":[29],"high":[30,205],"fidelity":[31],"strong":[33],"robustness":[34,172,195],"are":[35],"particularly":[36],"critical.":[37],"Recent":[38],"generative":[39,122],"image":[40],"watermarking":[41,123],"methods":[42],"provide":[43],"a":[44,121,141],"promising":[45],"foundation":[46],"by":[47],"leveraging":[48],"watermark":[49,91,99,112,148,160,210],"information":[50],"pseudo-random":[52,86,144],"keys":[53],"to":[54,68],"control":[55],"the":[56],"initial":[57],"sampling":[58],"noise,":[59],"enabling":[60],"lossless":[61],"embedding.":[62],"However,":[63],"directly":[64],"extending":[65],"these":[66,116],"techniques":[67],"videos":[69],"introduces":[70],"two":[71,133],"key":[72],"limitations:":[73],"Existing":[74],"designs":[75],"implicitly":[76],"rely":[77],"on":[78],"strict":[79],"alignment":[80,95],"between":[81],"video":[82,206],"frames":[83],"frame-dependent":[85],"binary":[87,145],"sequences":[88,154],"used":[89],"encryption.":[92],"Once":[93],"this":[94],"is":[96],"disrupted,":[97],"subsequent":[98],"extraction":[100,161],"becomes":[101],"unreliable;":[102],"Video-specific":[104],"distortions,":[105],"inter-frame":[108,185],"compression,":[109],"significantly":[110],"degrade":[111],"reliability.":[113],"To":[114],"address":[115],"issues,":[117],"we":[118],"propose":[119],"SKeDA,":[120],"framework":[124],"tailored":[125],"diffusion":[128],"models.":[129],"SKeDA":[130,203],"consists":[131],"components:":[134],"(1)":[135],"Shuffle-Key-based":[136],"Distribution-preserving":[137],"Sampling":[138],"(SKe)":[139],"employs":[140],"single":[142],"base":[143],"sequence":[146,164],"encryption":[149,153],"derives":[151],"frame-level":[152],"through":[155],"permutation.":[156],"This":[157],"design":[158],"transforms":[159],"from":[162],"synchronization-sensitive":[163],"decoding":[165],"into":[166],"permutation-tolerant":[167],"set-level":[168],"aggregation,":[169],"substantially":[170],"improving":[171],"against":[173,196],"frame":[174],"reordering":[175],"loss;":[177],"(2)":[179],"Differential":[180],"Attention":[181],"(DA),":[182],"which":[183],"computes":[184],"differences":[186],"dynamically":[188],"adjusts":[189],"attention":[190],"weights":[191],"during":[192],"extraction,":[193],"enhancing":[194],"temporal":[197],"distortions.":[198],"Extensive":[199],"experiments":[200],"demonstrate":[201],"that":[202],"preserves":[204],"quality":[208],"robustness.":[211]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}
