{"id":"https://openalex.org/W4412610102","doi":"https://doi.org/10.1109/tdsc.2025.3591904","title":"Data-Driven Regularized Inference Privacy","display_name":"Data-Driven Regularized Inference Privacy","publication_year":2025,"publication_date":"2025-07-23","ids":{"openalex":"https://openalex.org/W4412610102","doi":"https://doi.org/10.1109/tdsc.2025.3591904"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3591904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3591904","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5032439498","display_name":"Chong Xiao Wang","orcid":"https://orcid.org/0000-0002-0699-7329"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"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"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chong Xiao Wang","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0699-7329","affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3004594783"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046850399","display_name":"Wee Peng Tay","orcid":"https://orcid.org/0000-0002-1543-195X"},"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":"Wee Peng Tay","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-1543-195X","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06886368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"6","first_page":"6862","last_page":"6877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"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":0.9991000294685364,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9829999804496765,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9603999853134155,"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/computer-science","display_name":"Computer science","score":0.7855576872825623},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6075765490531921},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5082370638847351},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3344244956970215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2609487771987915}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855576872825623},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6075765490531921},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5082370638847351},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3344244956970215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2609487771987915}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tdsc.2025.3591904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3591904","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/201511","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/201511","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W132064424","https://openalex.org/W1834627138","https://openalex.org/W1903029394","https://openalex.org/W1968172088","https://openalex.org/W1985511977","https://openalex.org/W1995228946","https://openalex.org/W2018582985","https://openalex.org/W2021238795","https://openalex.org/W2027595342","https://openalex.org/W2039103602","https://openalex.org/W2057701372","https://openalex.org/W2086040578","https://openalex.org/W2107327484","https://openalex.org/W2125865219","https://openalex.org/W2137983211","https://openalex.org/W2146334809","https://openalex.org/W2147324825","https://openalex.org/W2160952634","https://openalex.org/W2194775991","https://openalex.org/W2328111639","https://openalex.org/W2329465571","https://openalex.org/W2478708596","https://openalex.org/W2577492210","https://openalex.org/W2592232824","https://openalex.org/W2593414223","https://openalex.org/W2593768305","https://openalex.org/W2611269208","https://openalex.org/W2733464274","https://openalex.org/W2735925300","https://openalex.org/W2765886485","https://openalex.org/W2783793345","https://openalex.org/W2790840433","https://openalex.org/W2889844454","https://openalex.org/W2896609429","https://openalex.org/W2920090984","https://openalex.org/W2920470092","https://openalex.org/W2922457090","https://openalex.org/W2963403405","https://openalex.org/W2963412800","https://openalex.org/W2963535017","https://openalex.org/W2963966695","https://openalex.org/W2964003198","https://openalex.org/W2964240924","https://openalex.org/W2964252706","https://openalex.org/W2967916697","https://openalex.org/W2973606665","https://openalex.org/W2990835654","https://openalex.org/W2993016614","https://openalex.org/W3003011734","https://openalex.org/W3015613036","https://openalex.org/W3034569612","https://openalex.org/W3046985193","https://openalex.org/W3049535481","https://openalex.org/W3121783531","https://openalex.org/W3129402031","https://openalex.org/W3139108984","https://openalex.org/W3204087964","https://openalex.org/W4205734126","https://openalex.org/W4254106911","https://openalex.org/W4411245272"],"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":{"Data":[0],"is":[1,66],"used":[2],"widely":[3],"by":[4],"service":[5,25,71],"providers":[6],"as":[7,86,142,164],"input":[8],"to":[9,12,27,49,82,120,144,152],"inference":[10,42,74,170],"systems":[11],"perform":[13],"decision":[14],"making":[15],"for":[16,98],"authorized":[17,36],"tasks.":[18],"The":[19],"raw":[20,58],"data":[21,48,59,65,151],"however":[22],"allows":[23],"a":[24,40,87,104,160],"provider":[26],"infer":[28],"other":[29],"sensitive":[30,53],"information":[31,54],"it":[32],"has":[33],"not":[34],"been":[35],"for.":[37],"We":[38,80,102],"formulate":[39],"data-driven":[41,117],"privacy":[43,88,123,171],"preserving":[44],"framework":[45],"that":[46,62],"sanitizes":[47],"prevent":[50],"leakage":[51],"of":[52,107,148,167,178],"present":[55],"in":[56,125],"the":[57,63,70,95,116,121,126,146,149,168,176],"while":[60],"ensuring":[61],"sanitized":[64,150],"still":[67],"compatible":[68],"with":[69],"provider's":[72],"legacy":[73,155],"system":[75],"and":[76,90,110,138],"provides":[77],"maximal":[78,84,108],"utility.":[79],"propose":[81],"use":[83],"correlation":[85,109],"metric":[89,124],"show":[91],"its":[92,154],"advantage":[93],"over":[94],"variational":[96],"method":[97],"approximating":[99],"mutual":[100],"information.":[101],"develop":[103,159],"practical":[105],"implementation":[106,118],"derive":[111],"sufficient":[112],"conditions":[113],"under":[114],"which":[115],"converges":[119],"true":[122],"large":[127],"training":[128],"sample":[129],"size":[130],"regime.":[131],"Furthermore,":[132],"we":[133,158],"adopt":[134],"maximum":[135],"mean":[136],"discrepancy":[137],"adversarial":[139],"domain":[140,147],"discriminator":[141],"techniques":[143],"regularize":[145],"ensure":[153],"compatibility.":[156],"Finally,":[157],"deep":[161],"learning":[162],"model":[163],"an":[165],"example":[166],"proposed":[169],"framework.":[172],"Numerical":[173],"experiments":[174],"verify":[175],"feasibility":[177],"our":[179],"approach.":[180]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}