{"id":"https://openalex.org/W4210685423","doi":"https://doi.org/10.1109/tdsc.2022.3144690","title":"Protecting Regression Models With Personalized Local Differential Privacy","display_name":"Protecting Regression Models With Personalized Local Differential Privacy","publication_year":2022,"publication_date":"2022-01-25","ids":{"openalex":"https://openalex.org/W4210685423","doi":"https://doi.org/10.1109/tdsc.2022.3144690"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2022.3144690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2022.3144690","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/A5100373860","display_name":"Xiaoguang Li","orcid":"https://orcid.org/0000-0002-1839-1607"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Xiaoguang Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an, China","Department of Computer and Information Technology, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048417676","display_name":"Haonan Yan","orcid":"https://orcid.org/0000-0002-1784-6091"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Yan","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086896412","display_name":"Zelei Cheng","orcid":"https://orcid.org/0000-0001-7478-933X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zelei Cheng","raw_affiliation_strings":["Department of Computer and Information Technology, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045191954","display_name":"Wenhai Sun","orcid":"https://orcid.org/0000-0003-0458-0092"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhai Sun","raw_affiliation_strings":["Department of Computer and Information Technology, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024453724","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-8310-7169"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100373860"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":3.4474,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93243943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"2","first_page":"960","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T10237","display_name":"Cryptography and Data Security","score":0.9901000261306763,"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":0.87330561876297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8543660640716553},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.5820871591567993},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5357638597488403},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5052796006202698},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.4916766285896301},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.42782971262931824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42542994022369385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16783830523490906}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.87330561876297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543660640716553},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.5820871591567993},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5357638597488403},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5052796006202698},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.4916766285896301},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.42782971262931824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42542994022369385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16783830523490906},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2022.3144690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2022.3144690","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1906728616","display_name":null,"funder_award_id":"201906960075","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G3718857384","display_name":null,"funder_award_id":"61932015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6306994556","display_name":null,"funder_award_id":"61732022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G673329116","display_name":null,"funder_award_id":"B16037","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W40229419","https://openalex.org/W1658920975","https://openalex.org/W1814707006","https://openalex.org/W1965612527","https://openalex.org/W1981029888","https://openalex.org/W2001238748","https://openalex.org/W2005107218","https://openalex.org/W2047094503","https://openalex.org/W2051267297","https://openalex.org/W2053801139","https://openalex.org/W2060200752","https://openalex.org/W2082894754","https://openalex.org/W2109426455","https://openalex.org/W2162379889","https://openalex.org/W2164289635","https://openalex.org/W2194775991","https://openalex.org/W2268542889","https://openalex.org/W2440056311","https://openalex.org/W2473418344","https://openalex.org/W2603766943","https://openalex.org/W2623427976","https://openalex.org/W2771214966","https://openalex.org/W2787676258","https://openalex.org/W2885112256","https://openalex.org/W2896177917","https://openalex.org/W2963465081","https://openalex.org/W2969695741","https://openalex.org/W2969945192","https://openalex.org/W2972997402","https://openalex.org/W2978172845","https://openalex.org/W3113058464","https://openalex.org/W3120740533","https://openalex.org/W3141043040","https://openalex.org/W4246193833","https://openalex.org/W4247776053","https://openalex.org/W4300910615","https://openalex.org/W6603698748","https://openalex.org/W6772101090"],"related_works":["https://openalex.org/W2019704260","https://openalex.org/W2900631219","https://openalex.org/W4212899026","https://openalex.org/W4390570329","https://openalex.org/W2795052735","https://openalex.org/W2603823019","https://openalex.org/W2758544064","https://openalex.org/W3010824232","https://openalex.org/W4286750579","https://openalex.org/W4300943073"],"abstract_inverted_index":{"The":[0,101],"equation-solving":[1],"model":[2,48,67,74,86],"extraction":[3],"attack":[4,11,39,124],"is":[5,27,34],"an":[6],"intuitively":[7],"simple":[8],"but":[9],"devastating":[10],"to":[12,59,83,120,129,134],"steal":[13],"confidential":[14],"information":[15],"of":[16,23,32,95],"regression":[17],"models":[18],"through":[19],"a":[20,52],"sufficient":[21],"number":[22],"queries.":[24],"Complete":[25],"mitigation":[26],"difficult.":[28],"Thus,":[29],"the":[30,38,47,62,66,81,85,88,93,105,109,122,131,135],"development":[31],"countermeasures":[33],"focused":[35],"on":[36,73,87],"degrading":[37],"effectiveness":[40],"as":[41,43],"much":[42],"possible":[44],"without":[45],"losing":[46],"utilities.":[49],"We":[50,64,90,126],"investigate":[51],"novel":[53],"personalized":[54],"local":[55],"differential":[56],"privacy":[57],"mechanism":[58],"defend":[60],"against":[61],"attack.":[63],"obfuscate":[65],"by":[68],"adding":[69],"high-dimensional":[70],"Gaussian":[71],"noise":[72,82],"coefficients.":[75],"Our":[76],"solution":[77],"can":[78],"adaptively":[79],"produce":[80],"protect":[84],"fly.":[89],"thoroughly":[91],"evaluate":[92],"performance":[94],"our":[96],"mechanisms":[97],"using":[98],"real-world":[99],"datasets.":[100],"experiment":[102],"shows":[103],"that":[104],"proposed":[106],"scheme":[107],"outperforms":[108],"existing":[110],"differential-privacy-enabled":[111],"solution,":[112],"i.e.,":[113],"4":[114],"times":[115],"more":[116],"queries":[117],"are":[118],"required":[119],"achieve":[121],"same":[123],"result.":[125],"also":[127],"plan":[128],"publish":[130],"relevant":[132],"codes":[133],"community":[136],"for":[137],"further":[138],"research.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}