{"id":"https://openalex.org/W4377821114","doi":"https://doi.org/10.1145/3597936","title":"Obfuscating the Dataset: Impacts and Applications","display_name":"Obfuscating the Dataset: Impacts and Applications","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4377821114","doi":"https://doi.org/10.1145/3597936"},"language":"en","primary_location":{"id":"doi:10.1145/3597936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3597936","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","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/A5072542706","display_name":"Guangsheng Yu","orcid":"https://orcid.org/0000-0002-6111-1607"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangsheng Yu","raw_affiliation_strings":["Data61, CSIRO, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6111-1607","affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057140938","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0001-9439-6437"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["FEIT, UTS, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9439-6437","affiliations":[{"raw_affiliation_string":"FEIT, UTS, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074997466","display_name":"Caijun Sun","orcid":"https://orcid.org/0000-0003-1529-3179"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caijun Sun","raw_affiliation_strings":["Zhejiang Lab, China"],"raw_orcid":"https://orcid.org/0000-0003-1529-3179","affiliations":[{"raw_affiliation_string":"Zhejiang Lab, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623508","display_name":"Ping Yu","orcid":"https://orcid.org/0000-0002-8913-873X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Yu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8913-873X","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Ni","orcid":"https://orcid.org/0000-0003-0780-4637"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Ni","raw_affiliation_strings":["Data61, CSIRO, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0780-4637","affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008974159","display_name":"Ren Ping Liu","orcid":"https://orcid.org/0000-0001-7001-6305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren Ping Liu","raw_affiliation_strings":["FEIT, UTS, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7001-6305","affiliations":[{"raw_affiliation_string":"FEIT, UTS, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9518,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78498219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"5","first_page":"1","last_page":"15"},"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":0.9994999766349792,"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":0.9886000156402588,"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":0.9030302166938782},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8656778335571289},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.6083407402038574},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5832550525665283},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5242528915405273},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5044306516647339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.439544141292572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43644940853118896},{"id":"https://openalex.org/keywords/outsourcing","display_name":"Outsourcing","score":0.416471004486084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4115147590637207},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3042164742946625},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2635766267776489},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.18901696801185608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9030302166938782},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8656778335571289},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.6083407402038574},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5832550525665283},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5242528915405273},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5044306516647339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.439544141292572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43644940853118896},{"id":"https://openalex.org/C46934059","wikidata":"https://www.wikidata.org/wiki/Q61515","display_name":"Outsourcing","level":2,"score":0.416471004486084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4115147590637207},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3042164742946625},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2635766267776489},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.18901696801185608},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3597936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3597936","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","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":15,"referenced_works":["https://openalex.org/W2031738616","https://openalex.org/W2053637704","https://openalex.org/W2112796928","https://openalex.org/W2473418344","https://openalex.org/W2606882085","https://openalex.org/W2612690371","https://openalex.org/W2757528734","https://openalex.org/W2786070938","https://openalex.org/W2801491268","https://openalex.org/W2810278044","https://openalex.org/W2960833983","https://openalex.org/W2974175488","https://openalex.org/W3127133996","https://openalex.org/W3154581591","https://openalex.org/W4287332481"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W3196405711","https://openalex.org/W3187232590","https://openalex.org/W4323521275","https://openalex.org/W4385893187"],"abstract_inverted_index":{"Obfuscating":[0],"a":[1,106,116],"dataset":[2,17,28,40],"by":[3],"adding":[4],"random":[5],"noises":[6],"to":[7,20,24,36,77],"protect":[8],"the":[9,15,39,44,51,65,69,79,87,109,119],"privacy":[10,113,123],"of":[11,50,61,142],"sensitive":[12],"samples":[13],"in":[14,138,148,153],"training":[16,132],"is":[18,30],"crucial":[19],"prevent":[21],"data":[22,62],"leakage":[23],"untrusted":[25],"parties":[26],"when":[27],"sharing":[29],"essential.":[31],"We":[32],"conduct":[33],"comprehensive":[34],"experiments":[35,83],"investigate":[37],"how":[38],"obfuscation":[41],"can":[42],"affect":[43],"resultant":[45],"model":[46,52,57,110,120],"weights":[47],"\u2014in":[48],"terms":[49],"accuracy,":[53],"\u2113":[54],"2":[55],"-distance-based":[56],"distance,":[58],"and":[59,73,90,96,100,112,115,122,134],"level":[60,114],"privacy\u2014and":[63],"discuss":[64],"potential":[66],"applications":[67],"with":[68],"proposed":[70],"Privacy,":[71],"Utility,":[72],"Distinguishability":[74],"(PUD)-triangle":[75],"diagram":[76],"visualize":[78],"requirement":[80],"preferences.":[81],"Our":[82],"are":[84],"based":[85],"on":[86],"popular":[88],"MNIST":[89],"CIFAR-10":[91],"datasets":[92],"under":[93],"both":[94,141],"independent":[95],"identically":[97],"distributed":[98],"(IID)":[99],"non-IID":[101],"settings.":[102],"Significant":[103],"results":[104,126],"include":[105],"tradeoff":[107,117],"between":[108,118],"accuracy":[111],"difference":[121],"level.":[124],"The":[125],"indicate":[127],"broad":[128],"application":[129],"prospects":[130],"for":[131],"outsourcing":[133],"guarding":[135],"against":[136],"attacks":[137],"federated":[139],"learning":[140,152],"which":[143],"have":[144],"been":[145],"increasingly":[146],"attractive":[147],"many":[149],"areas,":[150],"particularly":[151],"edge":[154],"computing.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
