{"id":"https://openalex.org/W4408345822","doi":"https://doi.org/10.1109/icassp49660.2025.10888201","title":"Filtering Resistant Large Language Model Watermarking via Style Injection","display_name":"Filtering Resistant Large Language Model Watermarking via Style Injection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345822","doi":"https://doi.org/10.1109/icassp49660.2025.10888201"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888201","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":"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/A5016689686","display_name":"Zhaojun Guo","orcid":"https://orcid.org/0000-0002-6833-9380"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaojun Guo","raw_affiliation_strings":["Fudan University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406288","display_name":"Guang Li","orcid":"https://orcid.org/0009-0000-3089-3047"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobiao Li","raw_affiliation_strings":["Fudan University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088702914","display_name":"Junqiang Huang","orcid":"https://orcid.org/0009-0000-6695-7022"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqiang Huang","raw_affiliation_strings":["Fudan University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071724015","display_name":"Xinpeng Zhang","orcid":"https://orcid.org/0000-0001-5867-1315"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Zhang","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036715206","display_name":"Zhenxing Qian","orcid":"https://orcid.org/0000-0002-5224-6374"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxing Qian","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359821","display_name":"Sheng Li","orcid":"https://orcid.org/0000-0002-7932-9831"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["Fudan University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016689686"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04013093,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9850999712944031,"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/digital-watermarking","display_name":"Digital watermarking","score":0.8932228684425354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7359386682510376},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.558566153049469},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4672315716743469},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4019734263420105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.380807101726532},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33241814374923706},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3287709951400757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1503329575061798},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.08485466241836548}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8932228684425354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7359386682510376},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.558566153049469},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4672315716743469},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4019734263420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.380807101726532},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33241814374923706},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3287709951400757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1503329575061798},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.08485466241836548},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888201","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2579318729","https://openalex.org/W2806082141","https://openalex.org/W2935349488","https://openalex.org/W3035367371","https://openalex.org/W3100727892","https://openalex.org/W3109409894","https://openalex.org/W3175052694","https://openalex.org/W3196832521","https://openalex.org/W3205696278","https://openalex.org/W4224932545","https://openalex.org/W4382317564","https://openalex.org/W4385570262","https://openalex.org/W4387967949","https://openalex.org/W4389524372","https://openalex.org/W4401042463","https://openalex.org/W6747838042","https://openalex.org/W6772197573","https://openalex.org/W6778883912","https://openalex.org/W6848955896","https://openalex.org/W6850625674","https://openalex.org/W6853244435","https://openalex.org/W6853616997","https://openalex.org/W6854565481","https://openalex.org/W6855503809"],"related_works":["https://openalex.org/W2361629745","https://openalex.org/W2107922825","https://openalex.org/W3094285444","https://openalex.org/W1568204688","https://openalex.org/W2381262728","https://openalex.org/W2111592878","https://openalex.org/W1846726187","https://openalex.org/W1593964766","https://openalex.org/W2387614453","https://openalex.org/W2365808414"],"abstract_inverted_index":{"The":[0],"exorbitant":[1],"cost":[2],"of":[3,45,87,166],"training":[4],"Large":[5],"Language":[6],"Models":[7],"(LLMs)":[8],"makes":[9],"it":[10],"essential":[11],"to":[12,67,91,104,118,154],"protect":[13],"the":[14,41,93,120,126,130,164,172],"models":[15],"from":[16],"illegal":[17],"copying":[18],"and":[19,133,139,158],"unauthorized":[20,64],"usage.":[21],"Recent":[22],"attempts":[23],"at":[24],"LLM":[25,81],"protection":[26],"utilize":[27],"black-box":[28],"watermarking":[29,82,116],"schemes,":[30],"which":[31,57,84,111],"embed":[32],"distinctive":[33],"input-output":[34],"mapping":[35],"(i.e.,":[36],"trigger":[37,48,92,101,121,131,159],"set)":[38],"directly":[39],"into":[40,54,108],"models.":[42],"However,":[43],"most":[44],"them":[46],"construct":[47],"inputs":[49],"by":[50,63],"injecting":[51],"abnormal":[52],"characters":[53],"normal":[55,106,157],"text,":[56],"can":[58],"easily":[59],"be":[60],"filtered":[61],"out":[62],"users,":[65],"leading":[66],"a":[68,78,100,114,149],"failure":[69],"in":[70],"watermark":[71,137,144],"verification.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,98,146],"propose":[77,148],"novel":[79],"filtering-resistant":[80],"scheme,":[83],"takes":[85],"advantage":[86],"imperceptible":[88],"text":[89,107],"styles":[90],"watermark.":[94],"To":[95,142],"achieve":[96],"this,":[97],"adopt":[99],"generation":[102],"network":[103],"transform":[105],"stylized":[109],"sentences,":[110],"are":[112],"assigned":[113],"specific":[115],"label":[117],"build":[119],"set.":[122],"We":[123],"then":[124],"fine-tune":[125],"LLMs":[127],"on":[128],"both":[129],"sets":[132],"clean":[134],"samples":[135],"for":[136,170],"embedding":[138],"performance":[140],"stabilization.":[141],"boost":[143],"accuracy,":[145],"further":[147],"feature":[150],"separation":[151],"loss":[152],"term":[153],"distinguish":[155],"between":[156],"inputs.":[160],"Experimental":[161],"results":[162],"indicate":[163],"effectiveness":[165],"our":[167],"proposed":[168],"scheme":[169],"resisting":[171],"filtering":[173],"attack.":[174]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
