{"id":"https://openalex.org/W4403791803","doi":"https://doi.org/10.1145/3664647.3681713","title":"Private Gradient Estimation is Useful for Generative Modeling","display_name":"Private Gradient Estimation is Useful for Generative Modeling","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791803","doi":"https://doi.org/10.1145/3664647.3681713"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681713","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3681713","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3664647.3681713","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025831003","display_name":"Bochao Liu","orcid":"https://orcid.org/0000-0002-0056-5218"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bochao Liu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032829184","display_name":"Pengju Wang","orcid":"https://orcid.org/0000-0003-3801-6262"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengju Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023225489","display_name":"Weijia Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Guo","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603148","display_name":"Li Yong","orcid":"https://orcid.org/0000-0001-8662-2377"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044163181","display_name":"Liansheng Zhuang","orcid":"https://orcid.org/0000-0002-4345-856X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liansheng Zhuang","raw_affiliation_strings":["Sch. of Cyb. Sec, USTC, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Sch. of Cyb. Sec, USTC, Anhui, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442321","display_name":"Weiping Wang","orcid":"https://orcid.org/0000-0002-8618-4992"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033254559","display_name":"Shiming Ge","orcid":"https://orcid.org/0000-0001-5293-310X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiming Ge","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Sch. of Cyb. Sec, UCAS, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5025831003"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.3475,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67743666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9937000274658203,"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":0.9778000116348267,"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":0.6540549397468567},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6163483262062073},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4762340188026428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39234480261802673},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08935722708702087},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.06808677315711975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540549397468567},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6163483262062073},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4762340188026428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39234480261802673},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08935722708702087},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.06808677315711975}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681713","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3681713","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3664647.3681713","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3681713","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1873763122","https://openalex.org/W2013823004","https://openalex.org/W2051267297","https://openalex.org/W2112796928","https://openalex.org/W2473418344","https://openalex.org/W2542898981","https://openalex.org/W2901505625","https://openalex.org/W2985580374","https://openalex.org/W3176736928","https://openalex.org/W3180355996","https://openalex.org/W3192357745","https://openalex.org/W4312933868","https://openalex.org/W4313350245","https://openalex.org/W4319068820","https://openalex.org/W4360887305","https://openalex.org/W4385768224","https://openalex.org/W4386057769","https://openalex.org/W4386066557","https://openalex.org/W4386071689","https://openalex.org/W4402943977"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"While":[0],"generative":[1,25,36,45,73],"models":[2,37],"have":[3],"proved":[4],"successful":[5],"in":[6,16,51,61,106],"many":[7],"domains,":[8],"they":[9],"may":[10],"pose":[11],"a":[12,31,70,91,127,172],"privacy":[13,100],"leakage":[14],"risk":[15],"practical":[17],"deployment.":[18],"To":[19],"address":[20],"this":[21,66,162],"issue,":[22],"differentially":[23],"private":[24,35,44,72,87,155],"model":[26,124,165],"learning":[27],"has":[28],"emerged":[29],"as":[30],"solution":[32],"to":[33,56,153,168],"train":[34],"for":[38],"different":[39],"downstream":[40],"tasks.":[41],"However,":[42],"existing":[43],"modeling":[46,62,74],"approaches":[47],"face":[48],"significant":[49],"challenges":[50],"generating":[52],"high-dimensional":[53],"data":[54,151,170],"due":[55],"the":[57,86,95,103,107,119,123,132,145,149,154,182,187],"inherent":[58],"complexity":[59],"involved":[60],"such":[63],"data.":[64],"In":[65,94,115,161],"work,":[67],"we":[68,97,117,137],"present":[69],"new":[71],"approach":[75],"where":[76],"samples":[77],"are":[78],"generated":[79],"via":[80],"Hamiltonian":[81,139],"dynamics":[82,140],"with":[83,111,141,171],"gradients":[84,110,142],"of":[85,109,122,174,186],"dataset":[88],"estimated":[89,143],"by":[90,101,125,144,159],"well-trained":[92,146],"network.":[93],"approach,":[96],"achieve":[98],"differential":[99],"perturbing":[102],"projection":[104],"vectors":[105],"estimation":[108],"sliced":[112],"score":[113,133],"matching.":[114,134],"addition,":[116],"enhance":[118],"reconstruction":[120],"ability":[121],"incorporating":[126],"residual":[128],"enhancement":[129],"module":[130],"during":[131],"For":[135],"sampling,":[136],"perform":[138],"network,":[147],"allowing":[148],"sampled":[150],"close":[152],"dataset's":[156],"manifold":[157],"step":[158],"step.":[160],"way,":[163],"our":[164],"is":[166],"able":[167],"generate":[169],"resolution":[173],"256\u00d7256.":[175],"Extensive":[176],"experiments":[177],"and":[178,184],"analysis":[179],"clearly":[180],"demonstrate":[181],"effectiveness":[183],"rationality":[185],"proposed":[188],"approach.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
