{"id":"https://openalex.org/W4416017310","doi":"https://doi.org/10.1145/3746252.3760916","title":"Evaluating Differentially Private Generation of Domain-Specific Text","display_name":"Evaluating Differentially Private Generation of Domain-Specific Text","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017310","doi":"https://doi.org/10.1145/3746252.3760916"},"language":"en","primary_location":{"id":"doi:10.1145/3746252.3760916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3760916","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746252.3760916","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100629959","display_name":"Yidan Sun","orcid":"https://orcid.org/0000-0002-3607-4963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yidan Sun","raw_affiliation_strings":["Imperial College London, Imperial Global Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Imperial Global Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037328707","display_name":"Viktor Schlegel","orcid":"https://orcid.org/0000-0002-6391-2950"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Viktor Schlegel","raw_affiliation_strings":["Imperial College London, Imperial Global Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Imperial Global Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047046255","display_name":"Srinivasan Kolumam Nandakumar","orcid":"https://orcid.org/0009-0009-1871-4531"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Srinivasan Kolumam Nandakumar","raw_affiliation_strings":["Imperial College London, Imperial Global Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Imperial Global Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024303085","display_name":"Iqra Zahid","orcid":"https://orcid.org/0000-0002-3969-7058"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iqra Zahid","raw_affiliation_strings":["Imperial College London, Imperial Global Singapore, Singapore, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Imperial Global Singapore, Singapore, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101470492","display_name":"Yuping Wu","orcid":"https://orcid.org/0000-0001-6399-9710"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuping Wu","raw_affiliation_strings":["University of Manchester, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042970208","display_name":"Warren Del-Pinto","orcid":"https://orcid.org/0000-0003-3307-9432"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Warren Del-Pinto","raw_affiliation_strings":["University of Manchester, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005912060","display_name":"Goran Nenadi\u0107","orcid":"https://orcid.org/0000-0003-0795-5363"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Goran Nenadic","raw_affiliation_strings":["University of Manchester, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002694277","display_name":"Siew-Kei Lam","orcid":"https://orcid.org/0000-0002-8346-2635"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Lam Siew Kei","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436740","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-4230-1077"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027222571","display_name":"Anil A. Bharath","orcid":"https://orcid.org/0000-0001-8808-2714"},"institutions":[{"id":"https://openalex.org/I4210109636","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639","country_code":"GB","type":"facility","lineage":["https://openalex.org/I34931013","https://openalex.org/I4210109636"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anil Bharath","raw_affiliation_strings":["Imperial Global Singapore, Imperial College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Imperial Global Singapore, Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984","https://openalex.org/I4210109636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100629959"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17200748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5273","last_page":"5278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9101999998092651,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9101999998092651,"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/T11719","display_name":"Data Quality and Management","score":0.010200000368058681,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.00800000037997961,"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/differential-privacy","display_name":"Differential privacy","score":0.779699981212616},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6904000043869019},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6086999773979187},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5562000274658203},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5198000073432922},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.5026999711990356},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.46059998869895935},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45080000162124634}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.779699981212616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013000249862671},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6904000043869019},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6086999773979187},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5562000274658203},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5198000073432922},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5074999928474426},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.5026999711990356},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.46059998869895935},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3887999951839447},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25609999895095825},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25360000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25360000133514404}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3746252.3760916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3760916","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/204406","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/204406","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/2c859530-328e-47d2-8ca5-ec8fffc4c130","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/2c859530-328e-47d2-8ca5-ec8fffc4c130","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sun, Y, Schlegel, V, Kolumam Nandakumar, S, Zahid, I, Wu, Y, Del-Pinto, W, Nenadic, G, Siew Kei, L, Zhang, J & Bharath, A 2025, Evaluating Differentially Private Generation of Domain-Specific Text. in M C & C P (eds), CIKM '25: : Proceedings of the 34th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, pp. 5273-5278. https://doi.org/10.1145/3746252.3760916","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3746252.3760916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3760916","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W200517375","https://openalex.org/W2101105183","https://openalex.org/W2132724073","https://openalex.org/W2159024459","https://openalex.org/W2174775663","https://openalex.org/W2473418344","https://openalex.org/W2507698194","https://openalex.org/W2891177506","https://openalex.org/W2907279416","https://openalex.org/W2936695845","https://openalex.org/W2981347044","https://openalex.org/W2995225687","https://openalex.org/W4313439128","https://openalex.org/W4385570621","https://openalex.org/W4385570803","https://openalex.org/W4385571534","https://openalex.org/W4385573108","https://openalex.org/W4386827556","https://openalex.org/W4401042737","https://openalex.org/W4409348063","https://openalex.org/W4409362815","https://openalex.org/W4411119577","https://openalex.org/W4411120520"],"related_works":[],"abstract_inverted_index":{"Generative":[0],"AI":[1],"offers":[2],"transformative":[3],"potential":[4],"for":[5,81,125],"high-stakes":[6],"domains":[7],"such":[8],"as":[9,34],"healthcare":[10],"and":[11,15,51,76,83,102,131],"finance,":[12],"yet":[13],"privacy":[14,78,112],"regulatory":[16],"barriers":[17],"hinder":[18],"the":[19,49,117,123],"use":[20],"of":[21,53,73,86,119],"real-world":[22],"data.":[23],"To":[24],"address":[25],"this,":[26],"differentially":[27],"private":[28],"synthetic":[29],"data":[30,75,128],"generation":[31,93],"has":[32],"emerged":[33],"a":[35,43,84,133],"promising":[36],"alternative.":[37],"In":[38],"this":[39],"work,":[40],"we":[41],"introduce":[42],"unified":[44],"benchmark":[45,64],"to":[46,106],"systematically":[47],"evaluate":[48],"utility":[50,101],"fidelity":[52,103],"text":[54],"datasets":[55],"generated":[56],"under":[57,110],"formal":[58],"Differential":[59],"Privacy":[60],"(DP)":[61],"guarantees.":[62],"Our":[63],"addresses":[65],"key":[66],"challenges":[67],"in":[68,138],"domain-specific":[69,97],"benchmarking,":[70],"including":[71],"choice":[72],"representative":[74],"realistic":[77,139],"budgets,":[79],"accounting":[80],"pre-training":[82],"variety":[85],"evaluation":[87,137],"metrics.":[88],"We":[89],"assess":[90],"state-of-the-art":[91],"privacy-preserving":[92,127],"methods":[94,130],"across":[95],"five":[96],"datasets,":[98],"revealing":[99],"significant":[100],"degradation":[104],"compared":[105],"real":[107],"data,":[108],"especially":[109],"strict":[111],"constraints.":[113],"These":[114],"findings":[115],"underscore":[116],"limitations":[118],"current":[120],"approaches,":[121],"outline":[122],"need":[124],"advanced":[126],"sharing":[129],"set":[132],"precedent":[134],"regarding":[135],"their":[136],"scenarios.":[140]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-08T00:00:00"}