{"id":"https://openalex.org/W4416549585","doi":"https://doi.org/10.1145/3719027.3765056","title":"Zero-Knowledge AI Inference with High Precision","display_name":"Zero-Knowledge AI Inference with High Precision","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W4416549585","doi":"https://doi.org/10.1145/3719027.3765056"},"language":"en","primary_location":{"id":"doi:10.1145/3719027.3765056","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719027.3765056","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765056","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 2025 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765056","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071137108","display_name":"Arman Riasi","orcid":"https://orcid.org/0009-0008-9502-7500"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arman Riasi","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":"https://orcid.org/0009-0008-9502-7500","affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026344213","display_name":"Haodi Wang","orcid":"https://orcid.org/0000-0002-5453-4126"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haodi Wang","raw_affiliation_strings":["City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5453-4126","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080253648","display_name":"Rouzbeh Behnia","orcid":"https://orcid.org/0000-0003-0423-7606"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rouzbeh Behnia","raw_affiliation_strings":["University of South Florida, Tampa, FL, USA"],"raw_orcid":"https://orcid.org/0000-0003-0423-7606","affiliations":[{"raw_affiliation_string":"University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087395864","display_name":"Viet Vo","orcid":"https://orcid.org/0000-0002-5984-7981"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Viet Vo","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5984-7981","affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064857808","display_name":"Thang Hoang","orcid":"https://orcid.org/0000-0003-2229-3863"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thang Hoang","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2229-3863","affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1053","last_page":"1067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.3700999915599823,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.3700999915599823,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.1289999932050705,"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":0.0982000008225441,"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/inference","display_name":"Inference","score":0.7281000018119812},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.4715000092983246},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.454800009727478},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.361299991607666},{"id":"https://openalex.org/keywords/model-based-reasoning","display_name":"Model-based reasoning","score":0.2937000095844269},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.29350000619888306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703999876976013},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7281000018119812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6029999852180481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4805000126361847},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.361299991607666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.334199994802475},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C2988105877","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference system","level":5,"score":0.289000004529953},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2628999948501587}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3719027.3765056","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719027.3765056","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765056","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 2025 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/139818","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/139818","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Article - Refereed"},{"id":"pmh:oai:pure.atira.dk:publications/98d90daf-8412-4a59-9705-a7048d1284cd","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/98d90daf-8412-4a59-9705-a7048d1284cd","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3719027.3765056","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719027.3765056","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765056","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 2025 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416549585.pdf","grobid_xml":"https://content.openalex.org/works/W4416549585.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W4180724","https://openalex.org/W1909324101","https://openalex.org/W2007339694","https://openalex.org/W2041068798","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2251939518","https://openalex.org/W2252150191","https://openalex.org/W2592232824","https://openalex.org/W2883748642","https://openalex.org/W2963540401","https://openalex.org/W2963844355","https://openalex.org/W2969695741","https://openalex.org/W2984103614","https://openalex.org/W2989230924","https://openalex.org/W3010216907","https://openalex.org/W3091983754","https://openalex.org/W3096609273","https://openalex.org/W3135955057","https://openalex.org/W3198562442","https://openalex.org/W3210219361","https://openalex.org/W3210485385","https://openalex.org/W3213013974","https://openalex.org/W4233996382","https://openalex.org/W4306890631","https://openalex.org/W4308641918","https://openalex.org/W4308642742","https://openalex.org/W4318541683","https://openalex.org/W4323349070","https://openalex.org/W4323566118","https://openalex.org/W4361805434","https://openalex.org/W4365808257","https://openalex.org/W4380081638","https://openalex.org/W4388856736","https://openalex.org/W4394907743","https://openalex.org/W4402264553","https://openalex.org/W4402387171","https://openalex.org/W4404954873","https://openalex.org/W4405181423","https://openalex.org/W4405183082","https://openalex.org/W4408161365","https://openalex.org/W4408565627","https://openalex.org/W4408566028","https://openalex.org/W4411486290","https://openalex.org/W6950173478"],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"as":[2],"a":[3,10,14,22],"Service":[4],"(AIaaS)":[5],"enables":[6],"users":[7],"to":[8,64,83],"query":[9],"model":[11,84],"hosted":[12],"by":[13],"service":[15],"provider":[16],"and":[17,40,46,72],"receive":[18],"inference":[19,71],"results":[20],"from":[21,74],"pre-trained":[23],"model.":[24],"Although":[25],"AIaaS":[26],"makes":[27],"artificial":[28],"intelligence":[29],"more":[30],"accessible,":[31],"particularly":[32],"for":[33,43],"resource-limited":[34],"users,":[35],"it":[36],"also":[37],"raises":[38],"verifiability":[39],"privacy":[41],"concerns":[42,56],"the":[44,65],"client":[45],"server,":[47],"respectively.":[48],"While":[49],"zero-knowledge":[50],"proof":[51],"techniques":[52],"can":[53],"address":[54],"these":[55],"simultaneously,":[57],"they":[58,78],"incur":[59],"high":[60],"proving":[61],"costs":[62],"due":[63],"non-linear":[66],"operations":[67],"involved":[68],"in":[69],"AI":[70],"suffer":[73],"precision":[75],"loss":[76],"because":[77],"rely":[79],"on":[80],"fixed-point":[81],"representations":[82],"real":[85],"numbers.":[86]},"counts_by_year":[],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-11-23T00:00:00"}