{"id":"https://openalex.org/W3192357745","doi":"https://doi.org/10.1145/3460120.3484579","title":"DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation","display_name":"DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3192357745","doi":"https://doi.org/10.1145/3460120.3484579","mag":"3192357745"},"language":"en","primary_location":{"id":"doi:10.1145/3460120.3484579","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460120.3484579","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460120.3484579","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3460120.3484579","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041191241","display_name":"Boxin Wang","orcid":"https://orcid.org/0000-0003-1084-4648"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Boxin Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101421946","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0001-7744-2278"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034045140","display_name":"Yunhui Long","orcid":"https://orcid.org/0009-0007-2603-5550"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunhui Long","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020051246","display_name":"Luka Rimani\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Luka Rimanic","raw_affiliation_strings":["ETH Z\u00fcrich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383731","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0002-8105-7505"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["ETH Z\u00fcrich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026419076","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-9743-9447"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041191241"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":4.8986,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95878074,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2146","last_page":"2168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9972000122070312,"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":0.9832000136375427,"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":0.8337035179138184},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8306071162223816},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7665015459060669},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.569164514541626},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4854305386543274},{"id":"https://openalex.org/keywords/hinge-loss","display_name":"Hinge loss","score":0.47666576504707336},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4752987325191498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4715053141117096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4609125256538391},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.4435542821884155},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4419627785682678},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4419281780719757},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4383859932422638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42350831627845764},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4144099950790405},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17819374799728394},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1457836627960205},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10894903540611267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8337035179138184},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8306071162223816},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7665015459060669},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.569164514541626},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4854305386543274},{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.47666576504707336},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4752987325191498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4715053141117096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4609125256538391},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.4435542821884155},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4419627785682678},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4419281780719757},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4383859932422638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42350831627845764},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4144099950790405},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17819374799728394},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1457836627960205},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10894903540611267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3460120.3484579","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460120.3484579","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460120.3484579","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.11109","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.11109","pdf_url":"https://arxiv.org/pdf/2103.11109","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3460120.3484579","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460120.3484579","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460120.3484579","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2882411384","display_name":null,"funder_award_id":"1910100","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3192357745.pdf","grobid_xml":"https://content.openalex.org/works/W3192357745.grobid-xml"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W778657980","https://openalex.org/W809736386","https://openalex.org/W1834627138","https://openalex.org/W2009797711","https://openalex.org/W2027595342","https://openalex.org/W2096803423","https://openalex.org/W2099471712","https://openalex.org/W2109426455","https://openalex.org/W2165157425","https://openalex.org/W2170204206","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2473418344","https://openalex.org/W2532781556","https://openalex.org/W2535690855","https://openalex.org/W2541884796","https://openalex.org/W2594311007","https://openalex.org/W2617960902","https://openalex.org/W2732026016","https://openalex.org/W2750384547","https://openalex.org/W2752660961","https://openalex.org/W2766140019","https://openalex.org/W2769644379","https://openalex.org/W2785361959","https://openalex.org/W2786602455","https://openalex.org/W2788193959","https://openalex.org/W2789197829","https://openalex.org/W2789226849","https://openalex.org/W2792263949","https://openalex.org/W2795435272","https://openalex.org/W2804268522","https://openalex.org/W2889676205","https://openalex.org/W2905148628","https://openalex.org/W2908109788","https://openalex.org/W2911327153","https://openalex.org/W2912269676","https://openalex.org/W2913059114","https://openalex.org/W2913668833","https://openalex.org/W2921189944","https://openalex.org/W2944525415","https://openalex.org/W2946930197","https://openalex.org/W2952515811","https://openalex.org/W2963189173","https://openalex.org/W2963228337","https://openalex.org/W2963373786","https://openalex.org/W2963374540","https://openalex.org/W2963540381","https://openalex.org/W2963592272","https://openalex.org/W2963664311","https://openalex.org/W2963684088","https://openalex.org/W2963766684","https://openalex.org/W2963903325","https://openalex.org/W2967880504","https://openalex.org/W2969261410","https://openalex.org/W2970055833","https://openalex.org/W2970773487","https://openalex.org/W2972087877","https://openalex.org/W2998034590","https://openalex.org/W3006979403","https://openalex.org/W3034367918","https://openalex.org/W3034608272","https://openalex.org/W3035616549","https://openalex.org/W3037261120","https://openalex.org/W3071470454","https://openalex.org/W3091201620","https://openalex.org/W3100345364","https://openalex.org/W3101542044","https://openalex.org/W3102097961","https://openalex.org/W3104110119","https://openalex.org/W3105148963","https://openalex.org/W3106873467","https://openalex.org/W3115851078","https://openalex.org/W3132435311","https://openalex.org/W3154560182","https://openalex.org/W4206155452","https://openalex.org/W4234726042","https://openalex.org/W4250013967","https://openalex.org/W4287720355","https://openalex.org/W4288358239","https://openalex.org/W4288612157","https://openalex.org/W4289117554","https://openalex.org/W4295358171","https://openalex.org/W4297685247","https://openalex.org/W4297799122","https://openalex.org/W4318619660","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W3022908591","https://openalex.org/W2946768379","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"Recent":[0],"success":[1],"of":[2,11,36],"deep":[3],"neural":[4],"networks":[5,94],"(DNNs)":[6],"hinges":[7],"on":[8,16],"the":[9,34,79,84,91],"availability":[10],"large-scale":[12],"dataset;":[13],"however,":[14],"training":[15,25],"such":[17],"dataset":[18],"often":[19],"poses":[20],"privacy":[21],"risks":[22],"for":[23,74],"sensitive":[24,64],"information.":[26,86],"In":[27,87],"this":[28],"paper,":[29],"we":[30,89],"aim":[31],"to":[32,53,71,99,108,114],"explore":[33],"power":[35],"generative":[37,47,92],"models":[38,73],"and":[39,42,96],"gradient":[40,112],"sparsity,":[41],"propose":[43],"a":[44,58],"scalable":[45],"privacy-preserving":[46],"model":[48],"DataLens,":[49],"which":[50],"is":[51,69],"able":[52],"generate":[54],"synthetic":[55],"data":[56,81],"in":[57],"differentially":[59],"private":[60,85],"(DP)":[61],"way":[62],"given":[63],"input":[65],"data.":[66],"Thus,":[67],"it":[68],"possible":[70],"train":[72,100],"different":[75],"down-stream":[76],"tasks":[77],"with":[78,110],"generated":[80],"while":[82],"protecting":[83],"particular,":[88],"leverage":[90],"adversarial":[93],"(GAN)":[95],"PATE":[97],"framework":[98],"multiple":[101],"discriminators":[102],"as":[103],"\"teacher\"":[104],"models,":[105],"allowing":[106],"them":[107],"vote":[109],"their":[111],"vectors":[113],"guarantee":[115],"privacy.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}