{"id":"https://openalex.org/W4411550922","doi":"https://doi.org/10.1109/cscwd64889.2025.11033458","title":"Collaborative Optimization of Label Protection in Large Language Models with an Adaptive R\u00e9nyi Divergence Approach","display_name":"Collaborative Optimization of Label Protection in Large Language Models with an Adaptive R\u00e9nyi Divergence Approach","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411550922","doi":"https://doi.org/10.1109/cscwd64889.2025.11033458"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5017211773","display_name":"Siyi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siyi Zhang","raw_affiliation_strings":["Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China"],"affiliations":[{"raw_affiliation_string":"Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103061445","display_name":"Xiaoyan Liang","orcid":"https://orcid.org/0009-0009-9873-4080"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Liang","raw_affiliation_strings":["Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China"],"affiliations":[{"raw_affiliation_string":"Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742781","display_name":"Ruizhong Du","orcid":"https://orcid.org/0000-0002-3952-2370"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhong Du","raw_affiliation_strings":["Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China"],"affiliations":[{"raw_affiliation_string":"Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034982266","display_name":"Jian Geng","orcid":"https://orcid.org/0000-0002-9026-440X"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Geng","raw_affiliation_strings":["Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China"],"affiliations":[{"raw_affiliation_string":"Hebei University,Key Lab on High Trusted Information System in Hebei Province,Baoding,China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017211773"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07794249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2023","last_page":"2028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.8095999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.8095999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.7932658195495605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147244572639465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3344781994819641},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2143356204032898},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06853759288787842}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7932658195495605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147244572639465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3344781994819641},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2143356204032898},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06853759288787842}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5675542312","display_name":null,"funder_award_id":"F2022201005,F2023201033","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2026994946","https://openalex.org/W2107885148","https://openalex.org/W2594311007","https://openalex.org/W2747680751","https://openalex.org/W2964881778","https://openalex.org/W3138815606","https://openalex.org/W4205711500","https://openalex.org/W4213044365","https://openalex.org/W4249192582","https://openalex.org/W4296658109","https://openalex.org/W4383754164","https://openalex.org/W4386755323","https://openalex.org/W4391093146","https://openalex.org/W4396519801","https://openalex.org/W4399566496","https://openalex.org/W6792439368","https://openalex.org/W6796672819","https://openalex.org/W6838419619","https://openalex.org/W6857415435"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4403822433","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Advancements":[0],"in":[1],"large":[2],"language":[3],"models":[4],"(LLMs)":[5],"are":[6],"driving":[7],"progress":[8],"towards":[9],"general":[10],"artificial":[11],"intelligence.":[12],"Ensuring":[13],"differential":[14,55,82],"privacy":[15,27,83,129,133],"during":[16,140],"fine-tuning":[17,142],"and":[18,28,33,61,84,135,143],"inference":[19,118],"on":[20],"domain-specific":[21],"data":[22,42,48,73],"is":[23],"essential,":[24],"but":[25,44],"balancing":[26],"utility,":[29],"especially":[30],"for":[31,71,79],"sequential":[32,41],"label":[34,47,54,63,72,117],"data,":[35],"remains":[36],"challenging.":[37],"Existing":[38],"methods":[39],"protect":[40],"well":[43],"struggle":[45],"with":[46,92,130],"due":[49],"to":[50,116],"traditional":[51],"definitions":[52],"of":[53],"privacy,":[56],"which":[57],"ignore":[58],"label-feature":[59],"correlations":[60],"weaken":[62],"privacy.":[64],"We":[65],"propose":[66],"an":[67,137],"optimized":[68],"privacy-utility":[69],"trade-off":[70],"by":[74,120],"introducing":[75],"a":[76,93,98,131],"new":[77],"definition":[78],"conditional":[80],"feature-label":[81],"enhancing":[85],"the":[86],"double":[87],"randomized":[88],"response":[89],"(DRR)":[90],"mechanism":[91],"R\u00e9nyi":[94],"divergence":[95],"optimizer.":[96],"Additionally,":[97],"dynamic":[99],"perturbation":[100],"factor":[101],"function":[102],"improves":[103],"usability":[104],"across":[105],"various":[106],"tasks.":[107],"Experimental":[108],"results":[109],"show":[110],"that":[111],"our":[112],"method":[113],"enhances":[114],"resistance":[115],"attacks":[119],"over":[121],"20%":[122],"while":[123],"maintaining":[124],"similar":[125],"accuracy,":[126],"offering":[127],"stronger":[128],"reduced":[132],"overhead":[134],"achieving":[136],"optimal":[138],"balance":[139],"LLMs":[141],"inference.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
