{"id":"https://openalex.org/W4416961704","doi":"https://doi.org/10.1109/pst65910.2025.11268818","title":"Balancing Trade-offs: Adaptive Differential Privacy in Interpretable Machine Learning Models","display_name":"Balancing Trade-offs: Adaptive Differential Privacy in Interpretable Machine Learning Models","publication_year":2025,"publication_date":"2025-08-26","ids":{"openalex":"https://openalex.org/W4416961704","doi":"https://doi.org/10.1109/pst65910.2025.11268818"},"language":null,"primary_location":{"id":"doi:10.1109/pst65910.2025.11268818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pst65910.2025.11268818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)","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/A5077288403","display_name":"Farhin Farhad Riya","orcid":"https://orcid.org/0000-0001-5739-0781"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Farhin Farhad Riya","raw_affiliation_strings":["University of Tennessee, Knoxville,EECS Department,Knoxville,United States"],"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville,EECS Department,Knoxville,United States","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089232776","display_name":"Shahinul Hoque","orcid":"https://orcid.org/0009-0009-9266-0631"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]},{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahinul Hoque","raw_affiliation_strings":["University of Tennessee, Knoxville,EECS Department,Knoxville,United States"],"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville,EECS Department,Knoxville,United States","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102921814","display_name":"Yingyuan Yang","orcid":"https://orcid.org/0000-0003-3150-129X"},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingyuan Yang","raw_affiliation_strings":["University of Illinois Springfield,CS Department,Springfield,United States"],"affiliations":[{"raw_affiliation_string":"University of Illinois Springfield,CS Department,Springfield,United States","institution_ids":["https://openalex.org/I79884896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783570","display_name":"Jinyuan Sun","orcid":"https://orcid.org/0000-0001-6717-9787"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyuan Sun","raw_affiliation_strings":["University of Tennessee, Knoxville,EECS Department,Knoxville,United States"],"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville,EECS Department,Knoxville,United States","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021188335","display_name":"Olivera Kotevska","orcid":"https://orcid.org/0000-0003-1677-2243"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olivera Kotevska","raw_affiliation_strings":["CS and Mathematics Division Oak Ridge National Laboratory,Oak Ridge,United States"],"affiliations":[{"raw_affiliation_string":"CS and Mathematics Division Oak Ridge National Laboratory,Oak Ridge,United States","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077288403"],"corresponding_institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20026165,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.6730999946594238,"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":0.6730999946594238,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.21209999918937683,"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":0.029500000178813934,"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/interpretability","display_name":"Interpretability","score":0.9034000039100647},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.847599983215332},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5673999786376953},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.557200014591217},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5446000099182129},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.536300003528595},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4975000023841858},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.49459999799728394}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9034000039100647},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.847599983215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559999823570251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6859999895095825},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5446000099182129},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4975000023841858},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.49459999799728394},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4129999876022339},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3693999946117401},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.3328000009059906},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2522999942302704},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pst65910.2025.11268818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pst65910.2025.11268818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W200517375","https://openalex.org/W2027595342","https://openalex.org/W2096870293","https://openalex.org/W2108598243","https://openalex.org/W2109426455","https://openalex.org/W2113792377","https://openalex.org/W2133665775","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2795435272","https://openalex.org/W2962858109","https://openalex.org/W3103672467","https://openalex.org/W3138815606","https://openalex.org/W4401607343"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,21,57,118,153,165],"advancing":[2],"field":[3,166],"of":[4,24,37,59,120,167],"machine":[5,136,169],"learning,":[6],"balancing":[7],"accuracy,":[8,156],"interpretability,":[9,159],"and":[10,61,128,158],"privacy":[11,38,55],"represents":[12],"a":[13,66,74,96,132,161],"significant":[14],"challenge.":[15],"The":[16,114],"problem":[17],"is":[18,149],"exacerbated":[19],"by":[20,124],"widespread":[22],"deployment":[23],"pre-trained":[25],"models":[26],"locally":[27],"in":[28,44,135,142,164],"diverse":[29],"applications,":[30],"which":[31,45],"could":[32],"lead":[33],"to":[34,50,151],"various":[35],"amounts":[36],"leakage.":[39],"Conventional":[40],"Differential":[41,69],"Privacy":[42,70],"strategies,":[43],"uniform":[46],"noises":[47],"are":[48,79,90],"applied":[49],"model":[51,143],"gradients,":[52],"guarantee":[53],"data":[54],"at":[56],"expense":[58],"accuracy":[60,110],"interpretability.":[62,93,113],"This":[63],"paper":[64],"introduces":[65],"Feature-Sensitive":[67],"Adaptive":[68],"(FADP)":[71],"framework":[72,116],"with":[73,105],"unique":[75,97],"noise-adding":[76],"strategy.":[77],"Noises":[78],"adaptively":[80],"added":[81],"based":[82],"on":[83],"feature":[84],"importance":[85],"clustering,":[86],"where":[87],"important":[88],"features":[89,104],"considered":[91],"for":[92],"By":[94],"employing":[95],"masking":[98],"technique,":[99],"FADP":[100,115,148],"selectively":[101],"preserves":[102],"crucial":[103],"minimal":[106],"noise":[107],"interference,":[108],"maintaining":[109],"while":[111],"enhancing":[112],"addresses":[117],"limitations":[119],"traditional":[121],"DP":[122],"methods":[123],"preserving":[125],"critical":[126],"channels":[127],"improving":[129],"interpretability":[130],"\u2014":[131],"vital":[133],"requirement":[134],"learning":[137],"applications":[138],"that":[139],"demand":[140],"transparency":[141],"decisions.":[144],"Through":[145],"comprehensive":[146],"testing,":[147],"shown":[150],"balance":[152],"trade-offs":[154],"among":[155],"privacy,":[157],"marking":[160],"substantial":[162],"advancement":[163],"privacy-preserving":[168],"learning.":[170]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-03T00:00:00"}
